| Name | Version | Summary | date |
| nbdev-pytorch |
0.0.2020 |
nbdev docs lookup for PyTorch |
2025-08-08 01:38:47 |
| dataset-with-logits |
0.2.9 |
PyTorch datasets with pre-computed model logits for efficient research |
2025-08-08 01:24:21 |
| mlip-arena |
0.1.2 |
Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond error-based regression metrics |
2025-08-07 22:34:50 |
| fbgemm-gpu-genai-nightly |
2025.8.7 |
None |
2025-08-07 14:31:16 |
| fbgemm-gpu-nightly-cpu |
2025.8.7 |
None |
2025-08-07 13:45:10 |
| torch-installer-coff33ninja |
1.0.0 |
An intelligent, autonomous PyTorch installer that automatically detects your system, GPU, and CUDA configuration |
2025-08-07 13:35:43 |
| BBDecoder |
1.1.1 |
Analysis of Pytorch Models |
2025-08-07 12:52:15 |
| torchx-nightly |
2025.8.7 |
TorchX SDK and Components |
2025-08-07 11:30:40 |
| torch |
2.8.0 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
2025-08-06 14:53:15 |
| open-clip-torch |
3.1.0 |
Open reproduction of consastive language-image pretraining (CLIP) and related. |
2025-08-06 14:48:40 |
| tbp-nightly |
2.21.5a20250806 |
XProf Profiler Plugin |
2025-08-06 09:42:40 |
| xprof-nightly |
2.21.5a20250806 |
XProf Profiler Plugin |
2025-08-06 09:42:37 |
| epoch-engine |
0.1.1 |
Trainer and evaluator for PyTorch models with a focus on simplicity and flexibility. |
2025-08-05 20:00:46 |
| transformers |
4.55.0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-08-05 16:13:48 |
| fbgemm-gpu-nightly |
2025.8.5 |
None |
2025-08-05 15:26:31 |
| tensi |
1.0.0 |
Interactive tensor shape visualization library |
2025-08-04 00:11:49 |
| tad-mctc |
0.5.3 |
Torch Autodiff Utility |
2025-08-03 16:26:18 |
| tensorboard-plugin-profile |
2.20.5 |
XProf Profiler Plugin |
2025-08-01 22:15:00 |
| xprof |
2.20.5 |
XProf Profiler Plugin |
2025-08-01 22:14:57 |
| pt-loop |
0.1.0 |
Local Outlier Probabilities (LoOP) implementation in PyTorch |
2025-08-01 18:48:10 |