| Name | Version | Summary | date |
| mindstudio-probe |
8.2.0 |
Ascend Probe Utils |
2025-09-03 06:16:46 |
| nbdev-pytorch |
0.0.2072 |
nbdev docs lookup for PyTorch |
2025-09-03 01:36:07 |
| b10-transfer |
0.1.6 |
Distributed PyTorch file transfer for Baseten - Environment-aware, lock-free file transfer management |
2025-09-02 22:52:38 |
| fbgemm-gpu-genai-nightly |
2025.9.2 |
None |
2025-09-02 14:28:01 |
| fbgemm-gpu-nightly-cpu |
2025.9.2 |
None |
2025-09-02 13:33:43 |
| torchx-nightly |
2025.9.2 |
TorchX SDK and Components |
2025-09-02 11:30:43 |
| tbp-nightly |
2.21.6a20250902 |
XProf Profiler Plugin |
2025-09-02 09:28:54 |
| xprof-nightly |
2.21.6a20250902 |
XProf Profiler Plugin |
2025-09-02 09:28:51 |
| biwkv4-cuda |
0.3.0 |
BiWKV4 CUDA Kernel for PyTorch |
2025-09-02 07:45:42 |
| imagedatasetanalyzer |
0.3.13 |
Image dataset analyzer using image embedding models and clustering methods. |
2025-09-01 14:23:42 |
| dltype |
0.4.0 |
An extremely lightweight typing library for torch tensors or numpy arrays. Supports runtime shape checking and data type validation. |
2025-08-30 19:04:20 |
| transformers |
4.56.0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-08-29 18:23:46 |
| ddpw |
5.5.1 |
A lightweight wrapper that scaffolds PyTorch's Distributed (Data) Parallel. |
2025-08-27 02:30:08 |
| fbgemm-gpu-nightly |
2025.8.26 |
None |
2025-08-26 15:04:15 |
| transformers-usf |
4.56.0.post2 |
Enhanced Transformers library with Omega3 model support - State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-08-26 09:14:15 |
| epoch-engine |
0.1.5 |
A lightweight trainer and evaluator for PyTorch models with a focus on simplicity and flexibility. |
2025-08-25 20:29:05 |
| tisc |
0.1.2 |
Simple model creation and training framework for time series classification in Pytorch |
2025-08-24 17:23:01 |
| torch-floating-point |
0.0.11 |
A PyTorch library for custom floating point quantization with autograd support |
2025-08-23 11:59:02 |
| pt-kmeans |
0.6.0 |
K-Means and Hierarchical K-Means implementation in PyTorch |
2025-08-23 07:34:32 |
| ov-training-kit |
0.1.9 |
Wrappers for scikit-learn and PyTorch models with OpenVINO optimization |
2025-08-22 06:43:19 |