Package Name | Access | Summary | Updated |
---|---|---|---|
faiss-gpu-cuvs | public | A library for efficient similarity search and clustering of dense vectors. | 2025-06-27 |
libfaiss | public | A library for efficient similarity search and clustering of dense vectors. | 2025-06-27 |
faiss-gpu | public | A library for efficient similarity search and clustering of dense vectors. | 2025-06-27 |
faiss-cpu | public | A library for efficient similarity search and clustering of dense vectors. | 2025-06-27 |
captum | public | Model interpretability for PyTorch | 2025-04-01 |
ignite | public | A lightweight library to help with training neural networks in PyTorch. | 2025-03-30 |
magma-cuda126 | public | No Summary | 2025-03-25 |
magma-cuda124 | public | No Summary | 2025-03-25 |
faiss-gpu-raft | public | A library for efficient similarity search and clustering of dense vectors. | 2025-03-25 |
libjpeg-turbo | public | IJG JPEG compliant runtime library with SIMD and other optimizations | 2025-03-25 |
magma-cuda121 | public | No Summary | 2025-03-25 |
torchtriton | public | A language and compiler for custom Deep Learning operation | 2025-03-25 |
magma-cuda118 | public | No Summary | 2025-03-25 |
pytorch-cuda | public | Metapackage to select the PyTorch variant. Use conda's pinning mechanism in your environment to control which variant you want. | 2025-03-25 |
magma-cuda117 | public | No Summary | 2025-03-25 |
torchdistx-cc | public | torchdistX C++ Runtime Library | 2025-03-25 |
torchdistx-cc-debug | public | torchdistX C++ Runtime Library Debug Symbols | 2025-03-25 |
torchdistx-cc-devel | public | torchdistX C++ Runtime Library Development Files | 2025-03-25 |
torchdistx | public | torchdistX Python Library | 2025-03-25 |
magma-cuda116 | public | No Summary | 2025-03-25 |
torchdata | public | Common modular data loading primitives for easily constructing flexible and performant data pipelines for PyTorch users | 2025-03-25 |
magma-cuda115 | public | No Summary | 2025-03-25 |
pytorch-mutex | public | Metapackage to select the PyTorch variant. Use conda's pinning mechanism in your environment to control which variant you want. | 2025-03-25 |
torch-workflow-archiver | public | Workflow serving on PyTorch | 2025-03-25 |
magma-cuda113 | public | No Summary | 2025-03-25 |