| Name | Version | Summary | date |
| ModularTorch |
0.1.4 |
custom torch wrapper |
2023-05-25 19:49:59 |
| TorchEase |
0.0.26 |
Simplifying working with PyTorch |
2023-05-24 09:35:56 |
| foxai |
0.6.0 |
Model Interpretability for PyTorch. |
2023-05-23 12:30:19 |
| brocolli |
4.0.2 |
everything in pytorch |
2023-05-23 11:46:20 |
| faissknn |
0.0.1 |
Faiss implementation of multiclass and multilabel K-Nearest Neighbors Classifiers |
2023-05-22 23:34:04 |
| effdet |
0.4.1 |
EfficientDet for PyTorch |
2023-05-21 22:18:01 |
| transformers-embedder |
3.0.10 |
Word level transformer based embeddings |
2023-05-19 08:24:14 |
| wyzard |
1.0 |
Run various transformers models from one packages. |
2023-05-18 06:10:17 |
| carefree-client |
0.1.10 |
Client framework based on FastAPI |
2023-05-17 13:21:01 |
| torchinfo |
1.8.0 |
Model summary in PyTorch, based off of the original torchsummary. |
2023-05-14 19:23:26 |
| pyfacer |
0.0.4 |
Face related toolkit |
2023-05-14 12:55:35 |
| medical-data |
0.2.0 |
Helpful data utilities for deep learning in medical image analysis/medical image computing |
2023-05-13 17:53:50 |
| ipa-core |
0.1.3 |
NLP Preprocessing Pipeline Wrappers |
2023-05-12 15:14:56 |
| cbloss |
0.2.0 |
PyTorch implementations of two popular loss functions for imbalanced classification problems: Class Balanced Loss and Focal Loss. |
2023-05-12 05:24:50 |
| pear-xai |
0.0.10 |
PEAR: Post-hoc Explainer Agreement Regularization |
2023-05-10 16:44:43 |
| memcnn |
1.5.2 |
A PyTorch framework for developing memory efficient deep invertible networks. |
2023-05-10 09:29:51 |
| omnisafe |
0.4.0 |
A comprehensive and reliable benchmark for safe reinforcement learning. |
2023-05-08 20:07:55 |
| pytorch-toolbelt |
0.6.3 |
PyTorch extensions for fast R&D prototyping and Kaggle farming |
2023-05-07 18:50:34 |
| nlpstack |
0.1.0 |
Modules for NLP |
2023-05-07 11:57:05 |
| hyperlight |
0.0.5 |
Hyperlight is a Pytorch hypernetwork framework with a streamlined API |
2023-05-07 00:15:36 |