Name | Version | Summary | date |
finetuning-scheduler |
2.2.1 |
A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules. |
2024-03-04 22:17:04 |
open-metric-learning |
2.1.6 |
OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings. |
2024-02-04 10:39:11 |
litrl |
0.0.24 |
Implementation of RL algorithms in PyTorch Lightning |
2024-02-01 08:09:58 |
pytorch-tabular |
1.1.0 |
A standard framework for using Deep Learning for tabular data |
2024-01-15 02:46:27 |
sagemaker-experiments-logger |
0.1.1 |
PyTorch Lightning Experiment Logger |
2023-10-20 16:00:48 |
cellseg_models_pytorch |
0.1.24 |
Python library for 2D cell/nuclei instance segmentation models written with PyTorch. |
2023-10-16 06:59:19 |
cellseg-models-pytorch |
0.1.22 |
Python library for 2D cell/nuclei instance segmentation models written with PyTorch. |
2023-07-10 13:24:01 |
whos-there |
0.1.6 |
The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends |
2023-07-03 18:14:38 |
torch-conduit |
0.3.5 |
Lightweight framework for dataloading with PyTorch and channeling the power of PyTorch Lightning |
2023-06-07 13:35:52 |