| Name | Version | Summary | date |
| segdan |
0.1.5 |
AutoML framework for the construction of segmentation models. |
2025-07-15 08:52:54 |
| pytorch-graph |
0.2.0 |
Enhanced PyTorch neural network architecture visualization with flowchart diagrams |
2025-07-11 16:23:45 |
| hierarchicalsoftmax |
1.4.4 |
A Hierarchical Softmax Framework for PyTorch. |
2025-07-10 00:11:41 |
| model-wrapper |
1.0.5 |
Model wrapper for Pytorch, which can training, predict, evaluate, etc. |
2025-05-24 06:48:36 |
| fbgemm-gpu |
1.2.0 |
None |
2025-04-24 06:23:37 |
| NERX |
0.0.6 |
Named Entity Recognition |
2025-03-15 05:06:04 |
| transformers-model |
0.0.8 |
Model hub for transformers. |
2025-03-11 02:40:38 |
| fbgemm-gpu-nightly-genai |
2025.3.9 |
None |
2025-03-09 13:20:41 |
| img2vec-pytorch-2 |
1.2.0 |
Use pre-trained models in PyTorch to extract vector embeddings for any image |
2025-02-28 23:48:27 |
| my-transformers |
4.5.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-02-26 10:40:18 |
| torchbox |
1.1.38 |
A PyTorch Toolbox. |
2025-02-22 06:20:38 |
| posteriors |
0.0.6 |
Uncertainty quantification with PyTorch |
2025-02-21 11:48:47 |
| dmlcloud |
0.4 |
Distributed torch training using horovod and slurm |
2025-02-17 10:34:28 |
| torch-levenberg-marquardt |
1.2.1 |
PyTorch implementation of Levenberg-Marquardt training algorithm |
2025-02-13 01:16:55 |
| 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 |
| 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 |