| Name | Version | Summary | date |
| pytorch-treadmill |
0.6.5 |
A Clean and Modular PyTorch Training Framework |
2025-09-15 21:18:26 |
| nbdev-pytorch |
0.0.2096 |
nbdev docs lookup for PyTorch |
2025-09-15 01:37:19 |
| fbgemm-gpu-genai-nightly |
2025.9.14 |
None |
2025-09-14 14:38:52 |
| torchx-nightly |
2025.9.14 |
TorchX SDK and Components |
2025-09-14 11:27:28 |
| torchrec |
1.3.0 |
TorchRec: Pytorch library for recommendation systems |
2025-09-13 22:51:07 |
| fbgemm-gpu-nightly-cpu |
2025.9.13 |
None |
2025-09-13 13:26:46 |
| adams-torch |
0.0.1 |
Adams optimizer: next-generation optimizer blending element-wise methods with matrix-aware regularization |
2025-09-13 07:51:57 |
| b10-transfer |
0.3.14 |
Distributed PyTorch file transfer for Baseten - Environment-aware, lock-free file transfer management |
2025-09-12 20:22:40 |
| tbp-nightly |
2.21.6a20250912 |
XProf Profiler Plugin |
2025-09-12 09:28:49 |
| xprof-nightly |
2.21.6a20250912 |
XProf Profiler Plugin |
2025-09-12 09:28:46 |
| torchoutil |
0.6.1 |
Collection of functions and modules to help development in PyTorch. |
2025-09-12 09:23:19 |
| hyptorch |
1.1.0 |
Suite of hyperbolic neural networks in PyTorch |
2025-09-11 15:38:41 |
| emicroml |
0.0.1 |
A Python library for training machine learning models for applications in electron microscopy. |
2025-09-09 05:29:54 |
| torch-pruning |
1.6.1 |
Towards Any Structural Pruning |
2025-09-07 17:25:48 |
| pt-kmeans |
0.8.3 |
K-Means and Hierarchical K-Means implementation in PyTorch |
2025-09-07 16:11:29 |
| fbgemm-gpu-nightly |
2025.9.6 |
None |
2025-09-06 15:08:24 |
| esgp |
0.1.0 |
Echo State Gradient Propogation implementation for PyTorch |
2025-09-05 05:22:48 |
| transformers |
4.56.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-09-04 20:47:13 |
| ov-training-kit |
0.2.3 |
Wrappers for scikit-learn, PyTorch and Tensorflow models with OpenVINO optimization |
2025-09-04 01:03:54 |
| mindstudio-probe |
8.2.0 |
Ascend Probe Utils |
2025-09-03 06:16:46 |