Name | Version | Summary | date |
torchbox |
1.1.38 |
A PyTorch Toolbox. |
2025-02-22 06:20:38 |
pytorch_optimizer |
3.4.2 |
optimizer & lr scheduler & objective function collections in PyTorch |
2025-02-22 06:08:33 |
fbgemm-gpu-nightly-cpu |
2025.2.21 |
None |
2025-02-21 13:44:00 |
fbgemm-gpu-nightly-genai |
2025.2.21 |
None |
2025-02-21 13:35:28 |
posteriors |
0.0.6 |
Uncertainty quantification with PyTorch |
2025-02-21 11:48:47 |
torchx-nightly |
2025.2.21 |
TorchX SDK and Components |
2025-02-21 11:29:29 |
nbdev-pytorch |
0.0.1684 |
nbdev docs lookup for PyTorch |
2025-02-20 01:36:00 |
tbp-nightly |
2.20.0a20250219 |
Profile Tensorboard Plugin |
2025-02-19 10:38:21 |
dmlcloud |
0.4 |
Distributed torch training using horovod and slurm |
2025-02-17 10:34:28 |
fbgemm-gpu-nightly |
2025.2.15 |
None |
2025-02-15 14:15:09 |
torch-levenberg-marquardt |
1.2.1 |
PyTorch implementation of Levenberg-Marquardt training algorithm |
2025-02-13 01:16:55 |
model-wrapper |
0.4.5 |
Model wrapper for Pytorch, which can training, predict, evaluate, etc. |
2025-02-10 09:40:13 |
torchLinearViz |
0.1.2 |
A library for visualizing PyTorch graph edge changes during training |
2025-02-09 05:12:42 |
scalable-softmax |
0.1.1 |
PyTorch implementation of Scalable-Softmax for attention mechanisms |
2025-02-08 22:49:20 |
torchserve-nightly |
2025.2.7 |
TorchServe is a tool for serving neural net models for inference |
2025-02-07 11:27:17 |
imagedatasetanalyzer |
0.1.9 |
Image dataset analyzer using image embedding models and clustering methods. |
2025-02-07 08:15:44 |
tayloranalysis |
0.2.8 |
Taylorcoefficient Analysis for pytorch models |
2025-02-05 12:42:35 |
classifier_trains |
1.1.8 |
A PyTorch-based deep learning classifier training framework. |
2025-02-02 14:01:31 |
relab |
0.5.0 |
Reinforcement learning made easy with prebuilt agents, Gym integration, and performance visualization. |
2025-02-01 17:02:37 |
nptorch |
0.0.2 |
A PyTorch clone made using NumPy (for CPU) and CuPy (for GPU) |
2025-02-01 12:11:21 |