| Name | Version | Summary | date |
| torch-conduit |
0.3.5 |
Lightweight framework for dataloading with PyTorch and channeling the power of PyTorch Lightning |
2023-06-07 13:35:52 |
| deeprankcore |
2.0.0 |
deeprankcore allows to train graph neural networks to classify protein-protein interface with a greater flexibility for the user. |
2023-06-07 10:47:43 |
| openvalidators-test |
1.0.0 |
Openvalidators is a collection of open source validators for the Bittensor Network. |
2023-06-06 18:46:40 |
| time-interpret |
0.3.0 |
Model interpretability library for PyTorch with a focus on time series. |
2023-06-06 01:33:02 |
| kaparoo-lightning-package |
0.2.1 |
A Python package for (personally) common and useful features for PyTorch Lightning. |
2023-06-02 18:07:33 |
| traversaal |
0.6982 |
A semantic search package for hotel data |
2023-06-02 06:29:39 |
| deformation-inversion-layer |
1.0.1 |
Deformation inversion layer is a neural network layer for inverting deformation fields |
2023-05-26 13:29:50 |
| 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 |
| 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 |