cmake aarch64 becff9968cd8982016c52f811234aed5efac0d0520d3246c1b018b7881f7d952 Cross-platform make system CMake is used to control the software compilation process using simple platform and compiler independent configuration files. CMake generates native makefiles and workspaces that can be used in the compiler environment of your choice. CMake is quite sophisticated: it is possible to support complex environments requiring system configuration, preprocessor generation, code generation, and template instantiation. http://www.cmake.org cmake src d275cdc14ac3fbcd545b7bee5bf3f0ea703f92375d29529707b30453b5295154 Cross-platform make system CMake is used to control the software compilation process using simple platform and compiler independent configuration files. CMake generates native makefiles and workspaces that can be used in the compiler environment of your choice. CMake is quite sophisticated: it is possible to support complex environments requiring system configuration, preprocessor generation, code generation, and template instantiation. http://www.cmake.org cmake-data noarch f0993e1b03a33a982833c46886fab30438ff50e1dbda2fdfea86aef0df169f93 Common data-files for cmake This package contains common data-files for cmake. http://www.cmake.org cmake-filesystem aarch64 c3fcf4f3f0a9e9f2a3437ab235ebf928827779c688f27053bb140c52959c975e Directories used by CMake modules This package owns all directories used by CMake modules. http://www.cmake.org cmake-gui aarch64 f1cf6187b4783bb1f98360bdcc814eefe1695a0240a5d7e84ac5ca4fcf31135e Qt GUI for cmake The cmake-gui package contains the Qt based GUI for cmake. http://www.cmake.org cmake-help noarch c3eba2b1765dbcef5833cb6f52458a2c59cd718fe592400b9580b5aaa70019dc Documentation for cmake Documentation for cmake. http://www.cmake.org cmake-rpm-macros noarch 55e17a6850072cb2e112aede7fe85e9c2563cd2ee62078662998847756fbc509 Common RPM macros for cmake This package contains common RPM macros for cmake. http://www.cmake.org fastai src 2b590583d408ca6a741dd752ccd0fa88ed11de220a069205a31efccf8129e3e3 Data validation library for Python fastai description https://pydantic.dev/ fastai src 0d8f21ec8085969dcaee563e35118cc8b5ab56a89d1a5e17dbf62dc2a67bceec Data validation library for Python fastai description https://pydantic.dev/ fastai src 25cdb82c8588a851845e790a6b6a36a8acefb44c55c55fcb1f91983b11434913 Data validation library for Python fastai description https://pydantic.dev/ python-accelerate src cc0f0df9fc65d0d9be790734e37ec92df3a8287107f508aefe28e7ecf831de26 Data validation library for Python Pydantic is the most widely used data validation library for Python. It's downloaded millions of times a day by thousands of developers all over the world. Pydantic's success stems from its great developer experience - simple to use, even when doing complex things. https://pydantic.dev/ python-accelerate src 7629260a118d395eba9c3c6adfa7b7a8637c0184dca0e840099fa01b7911bdb0 Data validation library for Python Pydantic is the most widely used data validation library for Python. It's downloaded millions of times a day by thousands of developers all over the world. Pydantic's success stems from its great developer experience - simple to use, even when doing complex things. https://pydantic.dev/ python-accelerate src 458e320e9b0f88d71131ee0b84b058f85f3884a05a4ec3b7a8ef9c5facfb9d60 Data validation library for Python Pydantic is the most widely used data validation library for Python. It's downloaded millions of times a day by thousands of developers all over the world. Pydantic's success stems from its great developer experience - simple to use, even when doing complex things. https://pydantic.dev/ python-antlr4-runtime src dfc80a1df9e6d509a34e095dc0de0fb0ff867112b0dc5c9e16f2c80dc615cb6c ANTLR(ANother Tool for Language Recognition) for python ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. https://www.antlr.org/ python-antlr4-runtime src 48a2d5d15f1eb832e3b7525243936000d5729612d9013aab6b4589712dc7ba13 ANTLR(ANother Tool for Language Recognition) for python ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. https://www.antlr.org/ python-antlr4-runtime src 3322b17edd559ab08e830cba9ef55d7426fc1203664bab13817c05d803ee53a5 ANTLR(ANother Tool for Language Recognition) for python ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. https://www.antlr.org/ python-antlr4-runtime-debuginfo aarch64 ac2a433b3b7f9996aa9b4a316e7bfa32f93751594b1e808480cb6fa0d81387a9 Debug information for package python-antlr4-runtime This package provides debug information for package python-antlr4-runtime. Debug information is useful when developing applications that use this package or when debugging this package. https://www.antlr.org/ python-antlr4-runtime-debugsource aarch64 69e184516ed54894068bd9196b3da991a3b82c0e4dccbf87e00933e1440ef716 Debug sources for package python-antlr4-runtime This package provides debug sources for package python-antlr4-runtime. Debug sources are useful when developing applications that use this package or when debugging this package. https://www.antlr.org/ python-botorch src 45e408187a98c9603587029c93676ca9cea28d1f7e7116072e2936e9accbf52d Botorch package for Python3 BoTorch is a library for Bayesian Optimization built on PyTorch. https://huggingface.co/docs/transformers/index python-botorch src d9d5ec6188e2004b250b486d447924a62adc0c0612a2409b071934e30475404d Botorch package for Python3 BoTorch is a library for Bayesian Optimization built on PyTorch. https://huggingface.co/docs/transformers/index python-botorch src 9bfd01451e13bb20ecdf7880c48768ce933ce182208b8062ecdb137ccf56b59a Botorch package for Python3 BoTorch is a library for Bayesian Optimization built on PyTorch. https://huggingface.co/docs/transformers/index python-botorch-debuginfo aarch64 65e4827941c1845326467e5ad5e6b3d35fe4b6364818582e47e7a65d8aa645e6 Debug information for package python-botorch This package provides debug information for package python-botorch. Debug information is useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python-botorch-debugsource aarch64 d33fd00b5c609d2c926c38cb621c69336fc61b629dee39d1d80b52305019c9b3 Debug sources for package python-botorch This package provides debug sources for package python-botorch. Debug sources are useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python-captum src fad2bf8bc595a6ac85f06ed3b6c6c40cea9dd5ed76dbc4b6e4819312adad48b7 captum package for Python3 Captum is a model interpretability and understanding library for PyTorch. Captum means comprehension in Latin and contains general purpose implementations of integrated gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models. It has quick integration for models built with domain-specific libraries such as torchvision, torchtext, and others. Captum is currently in beta and under active development! https://github.com/pytorch/captum python-captum-debuginfo aarch64 52f86c077d41f18189134a8e845965c32c5c8b2bf50c8df61f572ec1b06af575 Debug information for package python-captum This package provides debug information for package python-captum. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/pytorch/captum python-captum-debugsource aarch64 cc5e16207c0eb2b8a0cd5e59732f55e237287dc20859b2cedee3105f0c01c9af Debug sources for package python-captum This package provides debug sources for package python-captum. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/pytorch/captum python-deepspeed src 43568b49db66719c0fbc5b7eca7b3d4f08b420afc775c4c3ccbbbfcdb51c1e3a deepspeed python3 package DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. https://www.deepspeed.ai/ python-deepspeed src 05fcd675131ec246ada695f425e6c79b20ff95025bc841817305f08c8b8e46cf deepspeed python3 package DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. https://www.deepspeed.ai/ python-deepspeed-debuginfo aarch64 592e00339309ec4205bbe8fa14e2265c46191f783d6a49dd5966e135ce17073e Debug information for package python-deepspeed This package provides debug information for package python-deepspeed. Debug information is useful when developing applications that use this package or when debugging this package. https://www.deepspeed.ai/ python-deepspeed-debugsource aarch64 4857d5a666d1f1eb3b0a8db9e64f3653d892617ff243a7dfef001dadb8a858e8 Debug sources for package python-deepspeed This package provides debug sources for package python-deepspeed. Debug sources are useful when developing applications that use this package or when debugging this package. https://www.deepspeed.ai/ python-flair src dadf3606825c3b6f5aa3bdc100739df10ce9d3702d5c30584a6148221dbd5f1a flair package for Python3 https://github.com/flairNLP python-flair-debuginfo aarch64 0f461aeae5373248edf523a4ffaed100033909f0a3ac081391182cb14d3e0ce2 Debug information for package python-flair This package provides debug information for package python-flair. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/flairNLP python-flair-debugsource aarch64 db404437711ad9b45dde20df9272f6d08309d9433e6e98be0f224eccb59e2ee2 Debug sources for package python-flair This package provides debug sources for package python-flair. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/flairNLP python-fsspec src 3143bb734bc6e8400fa7588d4d962007696abaf6bad03b8d737072d41654cc3a File-system specification A specification for pythonic filesystems. http://github.com/fsspec/filesystem_spec python-fsspec-help noarch 8d60020b2dc463765d9a88e105d65630832326104566434a46a0c8f296b08f62 Development documents and examples for fsspec A specification for pythonic filesystems. http://github.com/fsspec/filesystem_spec python-hatch-fancy-pypi-readme src 8fd29dde656cd8dede652d9398944851220d899be67d2e6cf1dc68e93f13a9ea An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python-hatch-fancy-pypi-readme src 756bafe3fedab64053af05e9cca03037a09e0d5469355d653b0a3a0933f8677e An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python-hatch-fancy-pypi-readme src 7b6fe45e4ece0b62b063a6e1404840d9dfd9e07e2e9141a151eee13cd9442cda An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python-hjson src 29d2ac37e40a9df8de27603fd45a086e7fd52d878b06de8ffe3f75fca3a32ac6 Tensors and Dynamic neural networks in Python with strong GPU acceleration DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. https://www.json.org/json-en.html python-hydra src fabfbe1bed99f89773c74fab1ed4028ea821a44354bfd75f567de41435b8daad hydra package for python3 hydra package for python3 https://pydantic.dev/ python-hydra src e26769c8cd8caab16fcc8eb2999d3d17aef46704ce3d8e288771f0afee6a7935 hydra package for python3 hydra package for python3 https://pydantic.dev/ python-hydra src 6caed0331487d27a432c2c95449b272cf86b1e91f34733f6dc68ed94fd2e59af hydra package for python3 hydra package for python3 https://pydantic.dev/ python-hydra src c8d1a7471c23ffb02530c3122867986af4cbf1e0b426a57f0ce0d6b6e4199e41 hydra package for python3 hydra package for python3 https://pydantic.dev/ python-hydra-debuginfo aarch64 76930f314d4930fb57e3583e827cfb58063a775c3489cea92863f4c61cd5ee89 Debug information for package python-hydra This package provides debug information for package python-hydra. Debug information is useful when developing applications that use this package or when debugging this package. https://pydantic.dev/ python-hydra-debugsource aarch64 034bc215e7d1aac7932069467ccbbadeb7b99d658b0376d8766cbbbbbd370282 Debug sources for package python-hydra This package provides debug sources for package python-hydra. Debug sources are useful when developing applications that use this package or when debugging this package. https://pydantic.dev/ python-importlib-resources src ee491763de34fa5612bf29b82c824eca370057559f891cdc3288f157da3ba485 Read resources from Python packages Importlib_resources is a backport of Python standard library. https://github.com/python/importlib_resources python-importlib-resources-help noarch 9a4f088b4432290937f50e90e22c137a8e1c4969f75cbdf65e674618f7a99748 Development documents and examples for importlib-resources Importlib_resources is a backport of Python standard library. https://github.com/python/importlib_resources python-ninja src 75b03ae3d6d46b83277fd1a5006486035da0b9a4cefda24baeba51f8f820f2b4 A small build system with a focus on speed. A small build system with a focus on speed. https://github.com/ninja-build/ninja python-ninja src 04869513360398fc4173b2ac85ca81ee1908b4dd50b86217fb5617b319724ef8 A small build system with a focus on speed. A small build system with a focus on speed. https://github.com/ninja-build/ninja python-ninja-debuginfo aarch64 935352639b36a48a69aa57215020baa88189b858da81e059e58137c5553e44f3 Debug information for package python-ninja This package provides debug information for package python-ninja. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/ninja-build/ninja python-ninja-debugsource aarch64 c67987dcb4f2b7f288123583bf74ee09c9ef9a08a73cd4efc431620dd7a07618 Debug sources for package python-ninja This package provides debug sources for package python-ninja. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/ninja-build/ninja python-ninja-help aarch64 de18cf98089cbd2ea4dfd28c7c16ffd3524129ba457f29d9353f0c0fd13ad321 Development documents and examples for ninja. Development documents and examples for ninja. https://github.com/ninja-build/ninja python-omegaconf src df5daff2e030dada92c4620262d1d38dd48c78696568a8894e71138cbea712f4 omegaconf package for python3 OmegaConf is a hierarchical configuration system, with support for merging configurations from multiple sources (YAML config files, dataclasses/objects and CLI arguments) providing a consistent API regardless of how the configuration was created. https://github.com/omry/omegaconf python-omegaconf-debuginfo aarch64 2083c7552a2ee3a0d9037b17d0041adb115caf14bf30072c8c46e0907cf9f2d2 Debug information for package python-omegaconf This package provides debug information for package python-omegaconf. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/omry/omegaconf python-omegaconf-debugsource aarch64 45a07006cb1d7e4c378a6ab965aaa64a0a2b8f5ef819f1e2c3a5551933d6f9db Debug sources for package python-omegaconf This package provides debug sources for package python-omegaconf. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/omry/omegaconf python-onnxruntime src af48cbf99388aec06a4aac841fa0a41a6cb90d01f03413c709d030c345dbdd15 Tensors and Dynamic neural networks in Python with strong GPU acceleration ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. https://onnxruntime.ai/ python-pytorch-lightning src f71ba1f2db3b2106a85afac7834641dcc418761acc7dc5f0669f67c38f58c231 Pytorch Lightning package for python3 PyTorch Lightning is just organized PyTorch - Lightning disentangles PyTorch code to decouple the science from the engineering. https://github.com/Lightning-AI python-pytorch-lightning src 51fb88a35d628e94336d48fdaed6fed32b876c21a0dff59c67196f1b1f17e032 Pytorch Lightning package for python3 PyTorch Lightning is just organized PyTorch - Lightning disentangles PyTorch code to decouple the science from the engineering. https://github.com/Lightning-AI python-pytorch3d src 0cd27a1e03498728d134c896c0ae4832ff03af74e3f337f09c92fa02bf90193f PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python-pytorch3d src 47f4cc9cbca69a109632573e8b98d5180419bbc64726efe42cc1d71e5007785f PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python-pytorch3d src 4a1dfdf22f564f7f9eb143d32ccbc6ba5ddb26621408736b9d712218bd94d45a PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python-pytorch3d src b97f7fe084aa62ebc0126cce0ac917a6874dadbe8b53169c69c2d1a72601762e PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python-pytorch3d src 3e1ddf4b7d28cee7ef8bb52061346bc1d39d244838ad821ce2e20744ad6eb9ff PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python-pytorch3d-debuginfo aarch64 d7b09728f1062ac532439d5a0411eda43788b151528aac1f0b73ecf851adfbe5 Debug information for package python-pytorch3d This package provides debug information for package python-pytorch3d. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch3d.org/ python-pytorch3d-debugsource aarch64 4c314c5a769355b379c9cda2fdaefd22f8f8f18faf6416d660264f34568dd483 Debug sources for package python-pytorch3d This package provides debug sources for package python-pytorch3d. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch3d.org/ python-pytorchvideo src 398b8647716bf58528211a60865d645faaf9dff6a12a50cfb6fdb70b1f8888f7 pytorchvideo summary facebook research pytorchvideo https://pytorchvideo.org/ python-pytorchvideo src 73f5778edb53e3364fdb7b740836707f24b074da64006421e578b389b3dd5723 pytorchvideo summary facebook research pytorchvideo https://pytorchvideo.org/ python-pytorchvideo-debuginfo aarch64 6b27e5f2c9f175b87bad520ff3fe71f30ff14dcd145061396fabe3a5234ba145 Debug information for package python-pytorchvideo This package provides debug information for package python-pytorchvideo. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorchvideo.org/ python-pytorchvideo-debuginfo aarch64 a47680139f5c1b0703e94cbd5e1c40370d7b89136724e3cc4408128f0ead970f Debug information for package python-pytorchvideo This package provides debug information for package python-pytorchvideo. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorchvideo.org/ python-pytorchvideo-debugsource aarch64 1e30c503d344a816f7d89d520ba14f1c4f082dda77b45ae8f06f386c05665946 Debug sources for package python-pytorchvideo This package provides debug sources for package python-pytorchvideo. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorchvideo.org/ python-pytorchvideo-debugsource aarch64 1827a8c7c12344d37b4306c6911947e09b35c5aae6ace827b49e51cd7e67f874 Debug sources for package python-pytorchvideo This package provides debug sources for package python-pytorchvideo. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorchvideo.org/ python-scikit-build src f142ca13e5a97e49e96b593819e1071446b4dfaa719c8d445a30b6e81a3cf6d9 Improved build system generator for Python C/C++/Fortran/Cython extensions Improved build system generator for CPython C/C++/Fortran/Cython extensions. Better support is available for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements. The scikit-build package is fundamentally just glue between the setuptools Python module and CMake. https://github.com/scikit-build/scikit-build python-scikit-build src 011cba0b68a34196e1c2066108277dba27d82e1e329c7138d5a5043438681ae5 Improved build system generator for Python C/C++/Fortran/Cython extensions Improved build system generator for CPython C/C++/Fortran/Cython extensions. Better support is available for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements. The scikit-build package is fundamentally just glue between the setuptools Python module and CMake. https://github.com/scikit-build/scikit-build python-text src 146df246947fe12e09684852ba0b573cc59b5a37b7d2c9bbe78d780ced1f528f torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 87419da1d80d4a8d26f6a41647ae01f72a44e1c27f4b672e4540598a4864d656 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 3a570af6f9bad888d18e3de83ebbeaed2b1016ec947b8a3f783dff6bdea0d8b6 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 78d210c04ee013c4881b8f24cc17a73c08220f3e253b3c08aa647f9e3e628e90 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src bb7230269b43a1c429186682b48d503f98a18b498c67b7156e8650baeb867d5d torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 738558ea39ec78f825d9d5ae35dc62f2075b8655edb016fdff627e9128b83785 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src c786a9b80895a913cdbd1eb4baa0b2555f9ac59c6153b8c2eb443936fb85f154 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 22fd603bac462922390dfe3c6120dd3a2cb14ce625485cd3cda2ccf484016464 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text src 4d9ceac634762c2a32f0afc29d982deb204142273f2680bce79d2bc61b61ec53 torchtext package for Python3 The torchtext package consists of data processing utilities and popular datasets for natural language. https://pytorch.org/text/stable/index.html python-text-debuginfo aarch64 7ae0337ce82892fd6eaca3107447c6f99cf8283ed8a9c0da8cb186ad02b2e497 Debug information for package python-text This package provides debug information for package python-text. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch.org/text/stable/index.html python-text-debugsource aarch64 99d35b4a1c99b480123556625eaea3a892a045fab3a1d0b26b526cb324fb4909 Debug sources for package python-text This package provides debug sources for package python-text. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch.org/text/stable/index.html python-torchrl src 5af6330da925cf343b14ab6009a199d36b4c1b4b21392573b8405a24c1c758e8 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src 43fbad1b3108111e7893603d688ab62a113be562c9fa34d7294b6a5b199c1cd8 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src d41c88d22802e63f9ba7fc96de0b7966308b53404b2674315a1d750862bce5b5 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src bf13d2df386d5780a5d7a8a155332ef8d5619922cc81eb6f616b19dc6684af3c Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src 7ce22d9b711f88c221e4c210bda6c758ce8d81196b4539837a96a3c0477cdfae Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src b17b5e74becb443657a0165bafb9c5af31aebb2cebcf272f44c4a01860d54e99 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src c9cb3a84492fc106238b7bf101e5c56aac8a99acf9b53c88a1f74ba6441b9cc3 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src b551c224909813aaa250e1a37747bf8cd5354704e8791f314dc0e5f305ea17dd Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src 370fcbc316ace6e0976217e374def156314a7738174b09e0994894608bb027ea Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl src e914e41f79428f2ce0589fd2e806672abbcf48a95f83c7268155f879af24b367 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pypi.org/project/torchrl/ python-torchrl-debuginfo aarch64 50f200337b84dbb7d61713f4cc9db8cdc7167f6115056c0f49ff62789d172173 Debug information for package python-torchrl This package provides debug information for package python-torchrl. Debug information is useful when developing applications that use this package or when debugging this package. https://pypi.org/project/torchrl/ python-torchrl-debugsource aarch64 d1a0fab2d90e2e540354bea383d5adc842e72cb15e32962a94ae534ef1983fd9 Debug sources for package python-torchrl This package provides debug sources for package python-torchrl. Debug sources are useful when developing applications that use this package or when debugging this package. https://pypi.org/project/torchrl/ python-torchvision src 59e99bf2d81a5bac9e2d13ceb4c4c9f247e860decaceea106eefda3c4bb0c6e3 torchvision package for python3 PyTorchVision is a computer vision library based on PyTorch. This package provides tools and pre-trained models for various computer vision tasks. https://pytorch.org/vision/stable/index.html python-torchvision src a7e2ab9124441340a5740c8d480876fabd89c0828b13ec779938cd4e421b6eb6 torchvision package for python3 PyTorchVision is a computer vision library based on PyTorch. This package provides tools and pre-trained models for various computer vision tasks. https://pytorch.org/vision/stable/index.html python-torchvision src 2102aff50363a2fde6d2c3d542e544243617bfe73a79d4cd8095a5d4a50aba2f torchvision package for python3 PyTorchVision is a computer vision library based on PyTorch. This package provides tools and pre-trained models for various computer vision tasks. https://pytorch.org/vision/stable/index.html python-torchvision-debuginfo aarch64 71c505b1ba68296849ebce9b014198458aa21076bca6e3f874ef909c738d6aee Debug information for package python-torchvision This package provides debug information for package python-torchvision. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch.org/vision/stable/index.html python-torchvision-debugsource aarch64 3b3b0987db8c3fe15bc088df8bc74082fee93f67a0b90341dbe81c2735cbfd2a Debug sources for package python-torchvision This package provides debug sources for package python-torchvision. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch.org/vision/stable/index.html python-transformers src 428a5be04c45d1038caa1a930d4b87093b5e3bf5a98eb79cd1c959c8b889039c HuggingFace Transformers package for python3 Transformers support framework interoperability between PyTorch, TensorFlow, and JAX. This provides the flexibility to use a different framework at each stage of a model’s life; train a model in three lines of code in one framework, and load it for inference in another. Models can also be exported to a format like ONNX and TorchScript for deployment in production environments. https://huggingface.co/docs/transformers/index python-transformers src c3c0bb407cc528956236f2493b1f11a60b91f4643ad90b589b03ddb04a925cb4 HuggingFace Transformers package for python3 Transformers support framework interoperability between PyTorch, TensorFlow, and JAX. This provides the flexibility to use a different framework at each stage of a model’s life; train a model in three lines of code in one framework, and load it for inference in another. Models can also be exported to a format like ONNX and TorchScript for deployment in production environments. https://huggingface.co/docs/transformers/index python-transformers-debuginfo aarch64 00bbdb4d1180122c808c19c9f5c9d1c93a747f9bde865c8b7278ffdb313d4822 Debug information for package python-transformers This package provides debug information for package python-transformers. Debug information is useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python-transformers-debuginfo aarch64 f11090d32b416106cfa51e27df774f46b4837210980dfeaf92e585ecebdbac93 Debug information for package python-transformers This package provides debug information for package python-transformers. Debug information is useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python-transformers-debugsource aarch64 81fb25da66a4caadae497376afbe2994d7cd8bbd07b99e69767fe136a7dbba40 Debug sources for package python-transformers This package provides debug sources for package python-transformers. Debug sources are useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python-transformers-debugsource aarch64 eb9d582d2b6ac7e32a1057f59d26907e02f1cacc9d6e0f131a75177577550296 Debug sources for package python-transformers This package provides debug sources for package python-transformers. Debug sources are useful when developing applications that use this package or when debugging this package. https://huggingface.co/docs/transformers/index python3-accelerate noarch 83ce8c422d0a1f7f60879c620e9a0c132a37a205f0c6ee0258a16faabe446391 Data validation library for Python https://pydantic.dev/ python3-antlr4-runtime aarch64 780c51b05cf7ac9528dc5c819ae22f624ebec97e2a41105a19fd9e30bc75d217 ANTLR(ANother Tool for Language Recognition) for python antlr4-runtime description https://www.antlr.org/ python3-botorch aarch64 3245f4749f5971353614a2c9feddab31976f0ff098dfb4934594bc25ab4c5cd7 Botorch package for Python3 https://huggingface.co/docs/transformers/index python3-captum aarch64 28f94fddea995038113c3df5b0b63843b322f08280954eefaae0ad99971c4015 Botorch package for Python3 https://github.com/pytorch/captum python3-deepspeed aarch64 f58c10604e53d6f56d9e17a5b48bc6c5f4a0672e68ed9e64d4226de7fb93ae0c deepspeed python3 package deepspeed https://www.deepspeed.ai/ python3-fastai noarch 358252b1b1f8785d3c6aae3d9e1c2f5dc9e91c79dd950b161c8466005bd472e2 Data validation library for Python https://pydantic.dev/ python3-flair aarch64 2e1e6b5aac25f0d4564cc8364dedba8cf441baa860c347f51426abdc80326f70 flair package for Python3 https://github.com/flairNLP python3-fsspec noarch cd372656eb1b40145a93de3569de17e4cc377842729db214c1a9ba626887c24f File-system specification A specification for pythonic filesystems. http://github.com/fsspec/filesystem_spec python3-hatch-fancy-pypi-readme noarch 50b7bade9958bef9a207201f67b4fce67fc4fdfae5b0bd780ecaa21cf326f5a1 An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python3-hatch-fancy-pypi-readme noarch 90a0f388d2a4ddfb6a6479a672f5a18216259a045fc758d829f7a543a9f2d146 An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python3-hatch-fancy-pypi-readme noarch d2581d497c992191b66b75ab9e53152fe0cc86e105b3eb422a10f19effec7f1d An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. An MIT-licensed metadata plugin for Hatch to help user to have fancy PyPI readmes. https://github.com/hynek/hatch-fancy-pypi-readme python3-hjson noarch 88f9d8ad75795ccf48a354a2da3c28b823d49c0208eef1557de501337ab595b0 hjson for python3 python3-hjson description https://www.json.org/json-en.html python3-hydra aarch64 2db7467054dadade7166ba6ab6c9ccf8c4adaba91e61fe2fd5073ffede252d53 Data validation library for Python https://pydantic.dev/ python3-importlib-resources noarch dccd390668f33f2044ae63626197ec59b341c2a4613e7b44a123d4375ec78781 Read resources from Python packages Importlib_resources is a backport of Python standard library. https://github.com/python/importlib_resources python3-ninja aarch64 88bd0704b45b89b8458fc1e3c55cea616dff3a2c3943008625a75cb68068ba4e A small build system with a focus on speed. A small build system with a focus on speed. https://github.com/ninja-build/ninja python3-omegaconf aarch64 93c096351b6947af3b4e9a9b5ea51f7c0fa1330ca720408fabc2e989ae6b7934 omegaconf package for python3 transformer description https://github.com/omry/omegaconf python3-pytorch aarch64 472f582636c287e59eeeb5c3c37329d1fec988bbe83d106cd26beab19318d306 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/ python3-pytorch aarch64 054999e21139211ceb2379e83050d55f14e84363c961e70bc31c10724b1366c9 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/ python3-pytorch-lightning noarch 382e1bb96c9aa80da51cd3c727b6a8754165761479c57c81afbe08f61cbaa94d Pytorch Lightning package for python3 Pytorch Lightning package for python3 https://github.com/Lightning-AI python3-pytorch-lightning noarch 31a3ff51a11f59e81aa3e112c548dff036e716697c66c0f3373bae5acbcf90d1 Pytorch Lightning package for python3 Pytorch Lightning package for python3 https://github.com/Lightning-AI python3-pytorch3d aarch64 d85c4dc7778fdffc2e9bea77ef2d7b63a12ed658776fe67667bbb6c9b4cd576f PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. https://pytorch3d.org/ python3-pytorchvideo aarch64 b4dc35f4fbc2c98ad6ee9f1a4b7f2780d15146582df0c1819e0fa0f2bf5f6f94 facebook research pytorchvideo pytorchvideo description https://pytorchvideo.org/ python3-pytorchvideo aarch64 5910c107899b484f2ed8b60891cb0faddfdbf9532b5f65d642d09e9a336c4e17 facebook research pytorchvideo pytorchvideo description https://pytorchvideo.org/ python3-scikit-build noarch 295d86f4114d0eed8167d766e615195cfdff8085e28f15b2c16ced181e3b11f8 Improved build system generator for Python C/C++/Fortran/Cython extensions Improved build system generator for CPython C/C++/Fortran/Cython extensions. Better support is available for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements. The scikit-build package is fundamentally just glue between the setuptools Python module and CMake. https://github.com/scikit-build/scikit-build python3-text aarch64 ed8eba903029149af61fde167276bbe69b5d7b7a16ab3e7d51dfeda648399267 Botorch package for Python3 https://pytorch.org/text/stable/index.html python3-torchrl aarch64 6f43a6fc00d616661eaa5d0eec55f03e1362380ed4d009b455284a8541dd8791 Tensors and Dynamic neural networks in Python with strong GPU acceleration https://pypi.org/project/torchrl/ python3-torchvision aarch64 8e427684bf073b380b93b327ef000555d07ee5fae0b48c59c4604c93ad361ff0 Tensors and Dynamic neural networks in Python with strong GPU acceleration The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. https://pytorch.org/vision/stable/index.html python3-transformers aarch64 594e6c01a5f830dba0e02dc8fd5a5f61b9ec3c7e3e78dd4cb415c3ec50bdf38a Tensors and Dynamic neural networks in Python with strong GPU acceleration Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. These models support common tasks in different modalities, such as natural language processing, computer vision, audio and multimodal. https://huggingface.co/docs/transformers/index python3-transformers aarch64 fab1d2859ac8f65d019c784c11a453370a4cdb09fdbf09e49ab0810015c9b448 Tensors and Dynamic neural networks in Python with strong GPU acceleration Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. These models support common tasks in different modalities, such as natural language processing, computer vision, audio and multimodal. https://huggingface.co/docs/transformers/index pytorch src 6c941fd6065defccef8b5a3312a0414c5efaca001e5d9f4f0681ee838c0f4de6 Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/ pytorch src d1601b14cee54019432038548c492a9320ca2f4abbcecf793383dcaf3919483e Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/ pytorch-debuginfo aarch64 c57f13169db9cb959fd4f7eacfb74b4b58cdab3a2ba168cfc6e56f37bfbe6f7d Debug information for package pytorch This package provides debug information for package pytorch. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-debuginfo aarch64 d0da2079558a6b640d9d10acba05319e3fcc5481f37476add1ae9e0a324b46e1 Debug information for package pytorch This package provides debug information for package pytorch. Debug information is useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-debugsource aarch64 9697a0f27938d0ae875f17351eb05d9103c81af4854ea840bc211e6f333691cc Debug sources for package pytorch This package provides debug sources for package pytorch. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-debugsource aarch64 46fe9e217f4d0ea03ce303c6bcab7ee940590e8e560969d7bc03bd89b9cae52f Debug sources for package pytorch This package provides debug sources for package pytorch. Debug sources are useful when developing applications that use this package or when debugging this package. https://pytorch.org/ pytorch-help aarch64 1165a8f995b97f1cdda0bd81ccd4a7faa7a3016fc427439518fc4848bc2675ef Development documents and examples for torch PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/ pytorch-help aarch64 87332c700b4f69725c3d71ea8aa9f4d4876621ee856872e137dcc05a7d86811d Development documents and examples for torch PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. https://pytorch.org/