| Name | Version | Summary | date |
| trainplotkit |
0.1.0 |
Create live subplots in your notebook that update while training a PyTorch model |
2025-01-21 22:00:08 |
| nnm |
0.0.1 |
Neural Network Models |
2025-01-21 16:09:56 |
| transformers |
4.48.1 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-01-20 16:36:07 |
| timm |
1.0.14 |
PyTorch Image Models |
2025-01-19 23:08:58 |
| pyfacer |
0.0.5 |
Face related toolkit |
2025-01-17 02:31:53 |
| ellipse-rcnn |
0.2.0 |
An implementation of the Ellipse R-CNN object detection model in PyTorch, based on 'Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion' by Dong et al. |
2025-01-16 09:44:57 |
| unitorch |
0.0.0.24 |
unitorch provides efficient implementation of popular unified NLU / NLG / CV / CTR / MM / RL models with PyTorch. |
2025-01-15 07:13:00 |
| impruver |
1.0.7 |
Transformer based LLM trainer |
2025-01-12 16:36:05 |
| mlip-arena |
0.0.1a2 |
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics |
2025-01-11 18:10:02 |
| suave-ml |
0.1.2a1 |
A deep learning model (hybrid VAE) implementation for label information-guided dimensionality reduction and multi-task learning. |
2025-01-09 00:09:00 |
| tad-mctc |
0.3.2 |
Torch Autodiff Utility |
2025-01-08 19:24:03 |
| torchcs |
1.1.19 |
Compressed Sensing in PyTorch. |
2025-01-08 15:28:28 |
| torchTrainify |
0.1.3 |
A package to simplify the training and testing of PyTorch models |
2025-01-08 02:54:03 |
| t-draft-123 |
4.48.0.dev0 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2025-01-07 14:25:43 |
| torch-model-hub |
0.1.0 |
Model hub for Pytorch. |
2025-01-07 11:51:35 |
| vsrealesrgan |
5.2.1 |
Real-ESRGAN function for VapourSynth |
2025-01-04 14:43:24 |
| vsrife |
5.5.1 |
RIFE function for VapourSynth |
2025-01-04 14:34:20 |
| pina-mathlab |
0.1.2.post2501 |
Physic Informed Neural networks for Advance modeling. |
2025-01-01 03:09:52 |
| unfoldNd |
0.2.3 |
N-dimensional unfold (im2col) and fold (col2im) in PyTorch |
2024-12-30 19:43:26 |
| rankers |
0.0.6 |
A package for training and evaluating neural rankers. |
2024-12-26 23:44:33 |