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- Deep neural networks built on a tape-based autograd system
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- 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/captumBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209201-20240127-15352ludwigsrca1223fb0f8af8a147fb34c4100afd70e369179fe5cbf333c03421264c982a683Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
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- 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/ludwigBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209179-20240127-13495python3-DeepSpeedx86_64e32eedd2d1a1fd32922145802e7877b4ace15bf3f05249e00f2f26b9d42cdd85Tensors 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://github.com/microsoft/DeepSpeedBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209173-20240127-12452DeepSpeed-0.12.2-2.src.rpm/usr/bin/deepspeedpython3-captumx86_64929be70090244423995b455d35f635cf55ebdb765d54b036438c7db2bbec4a61Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
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- 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/captumBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209201-20240127-15352captum-0.7.0-2.src.rpmpython3-lightningx86_64b2b3ca1c08c1655e283ffbb4bb7bf83cfce99ae4de63a8ac4999c630e3bfa6ebTensors 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://github.com/Lightning-AI/pytorch-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209100-20240127-07374pytorch-lightning-2.0.2-2.src.rpmpython3-lightningx86_648925115abc1c0dbf1466bd1ce462a2c2e5b9c288c4f2bdb4fe7e6732024a2eebTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
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- 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-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209141-20240127-11465pytorch-lightning-2.0.2-2.src.rpmpython3-ludwigx86_64afbe009a8572389eaea999fabc6dc2e73333b3c0123e0be614a46cd7b1133fd5Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
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- 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/ludwigBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209179-20240127-13495ludwig-0.9-2.src.rpmpython3-pytorchx86_6497372f565a117d40878e88fc07343576515c61baf0408b2321b3498b776a068cTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
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- 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/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209172-20240127-12433pytorch-2.0.1-2.src.rpm/usr/bin/convert-caffe2-to-onnx/usr/bin/convert-onnx-to-caffe2/usr/bin/torchrun/usr/lib64/python3.11/site-packages/torch/bin/FileStoreTest/usr/lib64/python3.11/site-packages/torch/bin/HashStoreTest/usr/lib64/python3.11/site-packages/torch/bin/TCPStoreTest/usr/lib64/python3.11/site-packages/torch/bin/protoc/usr/lib64/python3.11/site-packages/torch/bin/protoc-3.13.0.0/usr/lib64/python3.11/site-packages/torch/bin/test_api/usr/lib64/python3.11/site-packages/torch/bin/test_cpp_rpc/usr/lib64/python3.11/site-packages/torch/bin/test_dist_autograd/usr/lib64/python3.11/site-packages/torch/bin/test_edge_op_registration/usr/lib64/python3.11/site-packages/torch/bin/test_jit/usr/lib64/python3.11/site-packages/torch/bin/test_lazy/usr/lib64/python3.11/site-packages/torch/bin/test_tensorexpr/usr/lib64/python3.11/site-packages/torch/bin/torch_shm_manager/usr/lib64/python3.11/site-packages/torch/bin/tutorial_tensorexprpython3-pytorchx86_6482d2fd76c744cfc4ddf2480dd1be3bb03aeeaa7a96876eb5ad31687182be5b69Tensors 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://pytorch.org/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209259-20240128-04521pytorch-2.0.1-2.src.rpm/usr/bin/convert-caffe2-to-onnx/usr/bin/convert-onnx-to-caffe2/usr/bin/torchrun/usr/lib64/python3.11/site-packages/torch/bin/FileStoreTest/usr/lib64/python3.11/site-packages/torch/bin/HashStoreTest/usr/lib64/python3.11/site-packages/torch/bin/TCPStoreTest/usr/lib64/python3.11/site-packages/torch/bin/protoc/usr/lib64/python3.11/site-packages/torch/bin/protoc-3.13.0.0/usr/lib64/python3.11/site-packages/torch/bin/test_api/usr/lib64/python3.11/site-packages/torch/bin/test_cpp_rpc/usr/lib64/python3.11/site-packages/torch/bin/test_dist_autograd/usr/lib64/python3.11/site-packages/torch/bin/test_edge_op_registration/usr/lib64/python3.11/site-packages/torch/bin/test_jit/usr/lib64/python3.11/site-packages/torch/bin/test_lazy/usr/lib64/python3.11/site-packages/torch/bin/test_tensorexpr/usr/lib64/python3.11/site-packages/torch/bin/torch_shm_manager/usr/lib64/python3.11/site-packages/torch/bin/tutorial_tensorexprpython3-pytorch3dx86_64ccf06249a30b0d0dfee5244b18c77230a6aa5cee4e86e8792c6ec39224b22023Tensors 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://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209103-20240127-08291pytorch3d-0.7.4-2.src.rpmpython3-pytorch3dx86_64a7c5c80ad1794f65064799b0bf4eb44b3b63bbd28d19cbf9fe1e4f2d825b4377Tensors 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://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209158-20240127-12263pytorch3d-0.7.4-2.src.rpmpython3-pytorchvideox86_6425ef0c0023ea911401aa5a52eb91bda7dd9fda32fb5aef8a68ae64218d5a2fb3Tensors 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://github.com/facebookresearch/pytorchvideoBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209157-20240127-12245pytorchvideo-2.0.1-2.src.rpmpython3-rlx86_64e9e29848ae7fb6006948a0f1a68d430ea748564ae5a7acbda6539c75d844c1faA 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/rlBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00213466-20240416-08151rl-0.0.4-2.src.rpmpython3-torchmetricsx86_640e26f33c4cf2c3b29427a52540cb3ad934b147432efd4f338bc2540efae2c940Tensors 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://github.com/Lightning-AI/torchmetricsBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209136-20240127-11344torchmetrics-1.1.1-2.src.rpmpython3-transformersx86_64c5d94ba706333ee315cdd0b20ac8f6eff5a958db626c247c7f3ad02183eab30dTensors 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://github.com/facebookresearch/transformersBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209165-20240127-12321transformers-4.34.0-2.src.rpm/usr/bin/transformers-clipython3-visionx86_64c7c3debd32a9dfded557491b9c707802809f27a3470516542c40d94ba14c9c02Tensors 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://github.com/pytorch/visionBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209199-20240127-15335vision-0.16.0-2.src.rpmpytorchsrcce54515b5b62134c6fbb1c7d215fed4ffda6e92d8de16c8c923d8793dfc37225Tensors 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://pytorch.org/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209172-20240127-12433pytorchsrc94fb2445912f3a31d7036f0aad0b2741f2e4bc8cbd852487ec6591b2ba740d82Tensors 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://pytorch.org/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209259-20240128-04521pytorch-debuginfox86_64cf5726e24c358294564d85baf30c23645aaaae1ac3ef740cee405042d5348e84Debug information for package pytorchThis 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/BSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209172-20240127-12433pytorch-2.0.1-2.src.rpm/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/FileStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/HashStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/TCPStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/protoc-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_api-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_cpp_rpc-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_dist_autograd-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_edge_op_registration-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_jit-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_lazy-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_tensorexpr-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/torch_shm_manager-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/tutorial_tensorexpr-2.0.1-2.x86_64.debugpytorch-debuginfox86_64bfcf1002c260ef8f93762c112b5829e48bb60f3718db17039efeafbe4d5ae1cdDebug information for package pytorchThis 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/BSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209259-20240128-04521pytorch-2.0.1-2.src.rpm/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/FileStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/HashStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/TCPStoreTest-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/protoc-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_api-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_cpp_rpc-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_dist_autograd-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_edge_op_registration-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_jit-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_lazy-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/test_tensorexpr-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/torch_shm_manager-2.0.1-2.x86_64.debug/usr/lib/debug/usr/lib64/python3.11/site-packages/torch/bin/tutorial_tensorexpr-2.0.1-2.x86_64.debugpytorch-debugsourcex86_646a712862a8d0f1b20cee2796a09e20dad88db849b1e1201e10f37e42954f6d81Debug sources for package pytorchThis 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/BSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209172-20240127-12433pytorch-2.0.1-2.src.rpmpytorch-debugsourcex86_641443bd73ebb4484950ad165fe8b5a67fdba9a82ae689821a4af5dcdbb444c040Debug sources for package pytorchThis 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/BSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209259-20240128-04521pytorch-2.0.1-2.src.rpmpytorch-helpx86_64ffbd35924e28e98d5e09f43ab91321c5b67146d76ac0c30c7e0a9fa9c45b6b45Development documents and examples for torchPyTorch 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/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209172-20240127-12433pytorch-2.0.1-2.src.rpmpytorch-helpx86_64c4e3fe3087ff61f00ad2019d2a12d7909326fbf4b184aed6a0a184cd4fcc0fc2Development documents and examples for torchPyTorch 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/BSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209259-20240128-04521pytorch-2.0.1-2.src.rpmpytorch-lightningsrcd61d62c25b6f2ea853787a51b29cc9875afc4c25b18fb1acfecf893945ae8414Tensors 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://github.com/Lightning-AI/pytorch-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209100-20240127-07374pytorch-lightningsrc934fbcaf2d8b6ddbafcc5c3e107ff252f64c5baa2725e1a46d7fef7881fee0f1Tensors 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://github.com/Lightning-AI/pytorch-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209141-20240127-11465pytorch3dsrce2ae469f075839ebee419da415dd73b42ce9015ef80d9a88ac9fff34007c7e68Tensors 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://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209103-20240127-08291pytorch3dsrcf7db253d944a3ca0e61f83b8cd78d612d8a801b2fada01dce4160054feabe7c6Tensors 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://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209158-20240127-12263pytorch3d-debuginfox86_64eee62bc4d26d24266c6c630345216d57a0f46036b9a65f69a50306ceec51cba9Debug information for package pytorch3dThis 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/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209103-20240127-08291pytorch3d-0.7.4-2.src.rpmpytorch3d-debuginfox86_64052ad8676db428cfb019175f5ff0471e61ce59391c4911ce2ff704366fad7f59Debug information for package pytorch3dThis 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/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209158-20240127-12263pytorch3d-0.7.4-2.src.rpmpytorch3d-debugsourcex86_6442f64444940feef63b066e5fb2eb919686f8d7b4bad49495121eb02209f46e9bDebug sources for package pytorch3dThis 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/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209103-20240127-08291pytorch3d-0.7.4-2.src.rpmpytorch3d-debugsourcex86_6439df47c5633c0b3cecc2290f722349412c987859c2ceb05e5374c896310c6e70Debug sources for package pytorch3dThis 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/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00209158-20240127-12263pytorch3d-0.7.4-2.src.rpmpytorchvideosrca3c7c239e02f85df6636d8f25993510425dbf08d614bf42b58f34db358adc6a5Tensors 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://github.com/facebookresearch/pytorchvideoBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209157-20240127-12245rlsrcac4f2801f671364dc441f125eb332972b9772b0d730fda12b60c3dbad36d836fA 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/rlBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00213466-20240416-08151torchmetricssrc0430cf6c1f152b18e44457ffd02a0f8c7c97ed5cd29a6928016628dd1ef92340Tensors 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://github.com/Lightning-AI/torchmetricsBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209136-20240127-11344transformerssrc67e2866103a5185aebe9dc90476fbe0e58ceeca9822591c0a044fd75229c6289Tensors 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://github.com/facebookresearch/transformersBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209165-20240127-12321visionsrc1fb1b1e7b40dadf910dbd0b0084a5883293131a8d29d9df702987aa36a3ba6fcTensors 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://github.com/pytorch/visionBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00209199-20240127-15335