Name | Version | Summary | date |
mteb |
1.11.0 |
Massive Text Embedding Benchmark |
2024-05-20 15:21:19 |
kit4dl |
2024.5b0 |
Kit4DL - A quick way to start with machine and deep learning |
2024-05-20 09:39:25 |
nntool |
0.3.2 |
neural network tool for research |
2024-05-19 23:35:13 |
ml-project-tracker |
0.0.4 |
A package for tracking the ML projects |
2024-05-17 12:57:14 |
torchmetrics |
1.4.0.post0 |
PyTorch native Metrics |
2024-05-15 11:31:20 |
lightning-sdk |
0.1.8 |
SDK to develop using Lightning AI Studios |
2024-05-14 14:20:10 |
mist-medical |
0.4.7a0 |
MIST is a simple, fully automated framework for 3D medical imaging segmentation. |
2024-05-13 15:40:06 |
pdeep |
0.0.1 |
pDeep |
2024-05-12 15:58:45 |
datamana |
0.1.2 |
Dataset Manager |
2024-05-11 13:24:52 |
ebtorch |
0.24.1 |
Collection of PyTorch additions, extensions, utilities, uses and abuses |
2024-05-09 00:07:13 |
torchcvnn |
0.5.0 |
torchcvnn provides complex valued layers to be used with pytorch |
2024-05-06 19:13:28 |
DeepXDE |
1.11.1 |
A library for scientific machine learning |
2024-05-05 02:21:16 |
finetuning-scheduler |
2.2.4 |
A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules. |
2024-05-04 22:56:07 |
lightning-habana |
1.5.0 |
Lightning support for Intel Habana accelerators |
2024-05-03 08:20:25 |
lightning-app |
2.2.4 |
Use Lightning Apps to build everything from production-ready, multi-cloud ML systems to simple research demos. |
2024-05-01 22:58:29 |
lightning |
2.2.4 |
The Deep Learning framework to train, deploy, and ship AI products Lightning fast. |
2024-05-01 22:58:25 |
lightning-fabric |
2.2.4 |
None |
2024-05-01 22:58:21 |
pytorch-lightning |
2.2.4 |
PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate. |
2024-05-01 22:58:19 |
potatorch |
0.0.4 |
Lightweight high-level PyTorch framework that runs on potato machines |
2024-05-01 08:51:46 |
batchgeneratorsv2 |
0.1.1 |
Batchgenerators but better |
2024-04-30 13:54:46 |