|
faiss-gpu
|
public |
A library for efficient similarity search and clustering of dense vectors.
|
2025-04-23 |
|
libfaiss
|
public |
A library for efficient similarity search and clustering of dense vectors.
|
2025-04-23 |
|
faiss-gpu-cuvs
|
public |
A library for efficient similarity search and clustering of dense vectors.
|
2025-04-23 |
|
faiss-cpu
|
public |
A library for efficient similarity search and clustering of dense vectors.
|
2025-04-23 |
|
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 |
