DeepSpeed src cf85f1ec4daacfd1fe1bc09134f4091d400b67e37edf53752d2e3e0387900359 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://github.com/microsoft/DeepSpeed captum src 63a3b28890d5137b93446ad9732ab0971bd7be4335da38f8d5dda86cce76f5c2 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://github.com/pytorch/captum ludwig src a1223fb0f8af8a147fb34c4100afd70e369179fe5cbf333c03421264c982a683 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://github.com/ludwig-ai/ludwig python3-DeepSpeed x86_64 e32eedd2d1a1fd32922145802e7877b4ace15bf3f05249e00f2f26b9d42cdd85 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://github.com/microsoft/DeepSpeed python3-captum x86_64 929be70090244423995b455d35f635cf55ebdb765d54b036438c7db2bbec4a61 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://github.com/pytorch/captum python3-lightning x86_64 b2b3ca1c08c1655e283ffbb4bb7bf83cfce99ae4de63a8ac4999c630e3bfa6eb 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://github.com/Lightning-AI/pytorch-lightning python3-lightning x86_64 8925115abc1c0dbf1466bd1ce462a2c2e5b9c288c4f2bdb4fe7e6732024a2eeb 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://github.com/Lightning-AI/pytorch-lightning python3-ludwig x86_64 afbe009a8572389eaea999fabc6dc2e73333b3c0123e0be614a46cd7b1133fd5 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://github.com/ludwig-ai/ludwig python3-pytorch x86_64 97372f565a117d40878e88fc07343576515c61baf0408b2321b3498b776a068c 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 x86_64 82d2fd76c744cfc4ddf2480dd1be3bb03aeeaa7a96876eb5ad31687182be5b69 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-pytorch3d x86_64 ccf06249a30b0d0dfee5244b18c77230a6aa5cee4e86e8792c6ec39224b22023 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://github.com/facebookresearch/pytorch3d python3-pytorch3d x86_64 a7c5c80ad1794f65064799b0bf4eb44b3b63bbd28d19cbf9fe1e4f2d825b4377 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://github.com/facebookresearch/pytorch3d python3-pytorchvideo x86_64 25ef0c0023ea911401aa5a52eb91bda7dd9fda32fb5aef8a68ae64218d5a2fb3 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://github.com/facebookresearch/pytorchvideo python3-rl x86_64 e9e29848ae7fb6006948a0f1a68d430ea748564ae5a7acbda6539c75d844c1fa A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. 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://github.com/pytorch/rl python3-torchmetrics x86_64 0e26f33c4cf2c3b29427a52540cb3ad934b147432efd4f338bc2540efae2c940 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://github.com/Lightning-AI/torchmetrics python3-transformers x86_64 c5d94ba706333ee315cdd0b20ac8f6eff5a958db626c247c7f3ad02183eab30d 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://github.com/facebookresearch/transformers python3-vision x86_64 c7c3debd32a9dfded557491b9c707802809f27a3470516542c40d94ba14c9c02 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://github.com/pytorch/vision pytorch src ce54515b5b62134c6fbb1c7d215fed4ffda6e92d8de16c8c923d8793dfc37225 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 94fb2445912f3a31d7036f0aad0b2741f2e4bc8cbd852487ec6591b2ba740d82 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 x86_64 cf5726e24c358294564d85baf30c23645aaaae1ac3ef740cee405042d5348e84 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 x86_64 bfcf1002c260ef8f93762c112b5829e48bb60f3718db17039efeafbe4d5ae1cd 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 x86_64 6a712862a8d0f1b20cee2796a09e20dad88db849b1e1201e10f37e42954f6d81 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 x86_64 1443bd73ebb4484950ad165fe8b5a67fdba9a82ae689821a4af5dcdbb444c040 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 x86_64 ffbd35924e28e98d5e09f43ab91321c5b67146d76ac0c30c7e0a9fa9c45b6b45 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 x86_64 c4e3fe3087ff61f00ad2019d2a12d7909326fbf4b184aed6a0a184cd4fcc0fc2 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-lightning src d61d62c25b6f2ea853787a51b29cc9875afc4c25b18fb1acfecf893945ae8414 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://github.com/Lightning-AI/pytorch-lightning pytorch-lightning src 934fbcaf2d8b6ddbafcc5c3e107ff252f64c5baa2725e1a46d7fef7881fee0f1 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://github.com/Lightning-AI/pytorch-lightning pytorch3d src e2ae469f075839ebee419da415dd73b42ce9015ef80d9a88ac9fff34007c7e68 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://github.com/facebookresearch/pytorch3d pytorch3d src f7db253d944a3ca0e61f83b8cd78d612d8a801b2fada01dce4160054feabe7c6 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://github.com/facebookresearch/pytorch3d pytorch3d-debuginfo x86_64 eee62bc4d26d24266c6c630345216d57a0f46036b9a65f69a50306ceec51cba9 Debug information for package pytorch3d This package provides debug information for package pytorch3d. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/facebookresearch/pytorch3d pytorch3d-debuginfo x86_64 052ad8676db428cfb019175f5ff0471e61ce59391c4911ce2ff704366fad7f59 Debug information for package pytorch3d This package provides debug information for package pytorch3d. Debug information is useful when developing applications that use this package or when debugging this package. https://github.com/facebookresearch/pytorch3d pytorch3d-debugsource x86_64 42f64444940feef63b066e5fb2eb919686f8d7b4bad49495121eb02209f46e9b Debug sources for package pytorch3d This package provides debug sources for package pytorch3d. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/facebookresearch/pytorch3d pytorch3d-debugsource x86_64 39df47c5633c0b3cecc2290f722349412c987859c2ceb05e5374c896310c6e70 Debug sources for package pytorch3d This package provides debug sources for package pytorch3d. Debug sources are useful when developing applications that use this package or when debugging this package. https://github.com/facebookresearch/pytorch3d pytorchvideo src a3c7c239e02f85df6636d8f25993510425dbf08d614bf42b58f34db358adc6a5 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://github.com/facebookresearch/pytorchvideo rl src ac4f2801f671364dc441f125eb332972b9772b0d730fda12b60c3dbad36d836f A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and python-first, low and high level abstractions for RL that are intended to be efficient, modular, documented and properly tested. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort. https://github.com/pytorch/rl torchmetrics src 0430cf6c1f152b18e44457ffd02a0f8c7c97ed5cd29a6928016628dd1ef92340 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://github.com/Lightning-AI/torchmetrics transformers src 67e2866103a5185aebe9dc90476fbe0e58ceeca9822591c0a044fd75229c6289 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://github.com/facebookresearch/transformers vision src 1fb1b1e7b40dadf910dbd0b0084a5883293131a8d29d9df702987aa36a3ba6fc 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://github.com/pytorch/vision