python-deepspeedsrcb4a854e19aca0ee04eb21d0d229927fd8b3bdbd76df8bb6e935b7ecfea57c887deepspeed python3 packageDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.https://www.deepspeed.ai/Apache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209298-20240128-0656python-hatch-fancy-pypi-readmesrc58f1017c060adba0d8f2054b576f3f083206c9ce9c35cd2c92f1f3400ea233f1An 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-readmeMITopenEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209290-20240128-0639python-ninjasrc2a18034a9ac80eb763aa1747ea9640462a8b88150af64a162389d884fe513284A small build system with a focus on speed.A small build system with a focus on speed.https://github.com/ninja-build/ninjaApache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209269-20240128-0546python-pytorch-lightningsrcf9070aa5f697b69a05a4fa1c9b8724c46faa6a8dd8bfeb59a5f93834c20b54a5Pytorch Lightning package for python3PyTorch Lightning is just organized PyTorch - Lightning disentangles PyTorch code to decouple the science from the engineering.https://github.com/Lightning-AIMITopenEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209226-20240127-1754python-pytorch3dsrc4c34b585e5aa34c759fe561eae0708056556dba255aebe4bb63fd9331e132b3ePyTorch3D 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/Apache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209242-20240127-1824python-pytorchvideosrc3f504c0b70c3a153843e13662b9f3047f62c3db503963c30d86d1e67aea1ff2bpytorchvideo summaryfacebook research pytorchvideohttps://pytorchvideo.org/Apache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209236-20240127-1813python-scikit-buildsrc8027b54bcc9cfc46eab58934260d6f907d51dee516cf5660391dd0ebad8c185bImproved build system generator for Python C/C++/Fortran/Cython extensionsImproved 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-buildMIT AND BSD-2-Clause-Views AND Apache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209272-20240128-0548python-torchrlsrc030e14c424d9941702047d903169e0516ea9af77567d5e903fc43567f005913cTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch 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/MITopenEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209212-20240127-1722python-torchvisionsrc743d0623c2a05c11bb4411904af3c9ca4fb65c9473c7985c5d7255e7633eedddtorchvision package for python3PyTorchVision 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.htmlBSD 3-ClauseopenEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209288-20240128-0637python-transformerssrc463dbeb646b61545f0f27e86f6c1ce14dd8757411b1ac0206f79a98a738b9ab1HuggingFace Transformers package for python3Transformers 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/indexApache-2.0openEuler Copr - user menmaUnspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209214-20240127-1724