| Name | Version | Summary | date |
| nbdev-pytorch |
0.0.2177 |
nbdev docs lookup for PyTorch |
2025-10-26 01:36:58 |
| snakia |
0.3.0 |
Modern python framework |
2025-10-25 20:00:54 |
| fbgemm-gpu-genai-nightly |
2025.10.25 |
None |
2025-10-25 14:08:32 |
| fbgemm-gpu-nightly-cpu |
2025.10.25 |
None |
2025-10-25 13:27:23 |
| torchx-nightly |
2025.10.25 |
TorchX SDK and Components |
2025-10-25 11:27:50 |
| tbp-nightly |
2.21.7a20251025 |
XProf Profiler Plugin |
2025-10-25 09:22:39 |
| xprof-nightly |
2.21.7a20251025 |
XProf Profiler Plugin |
2025-10-25 09:22:35 |
| fakecbed |
0.5.1 |
A Python library for generating quickly images that imitate convergent beam electron diffraction patterns. |
2025-10-25 06:15:22 |
| distoptica |
0.4.1 |
Python library for modelling optical distortions. |
2025-10-25 04:39:42 |
| timm |
1.0.21 |
PyTorch Image Models |
2025-10-24 22:37:57 |
| torchorthopolys |
0.1 |
Classic orthonormal polynomials in PyTorch |
2025-10-24 18:46:04 |
| emicroml |
0.0.4 |
A Python library for training machine learning models for applications in electron microscopy. |
2025-10-24 17:31:10 |
| fbgemm-gpu-genai |
1.4.1 |
None |
2025-10-24 06:26:50 |
| fashion-mnist-classifier |
0.1.11 |
An image classification model for Fashion MNIST using PyTorch Lightning. |
2025-10-23 10:27:21 |
| torch-module-monitor |
0.1.0 |
Diagnostics for PyTorch model training - monitor activations, parameters, and gradients |
2025-10-21 22:28:53 |
| pytorch-tokenizers |
1.0.1 |
A package with common tokenizers in Python and C++ |
2025-10-21 17:18:40 |
| fbgemm-gpu-cpu |
1.4.0 |
None |
2025-10-20 21:27:50 |
| fbgemm-gpu-nightly |
2025.10.19 |
None |
2025-10-19 15:18:03 |
| torchskradon |
0.1.0 |
A differentiable implementation of scikit-image's Radon transform and filtered backprojection in PyTorch |
2025-10-19 09:28:44 |
| pytorch_optimizer |
3.8.1 |
optimizer & lr scheduler & objective function collections in PyTorch |
2025-10-18 10:44:35 |