| Name | Version | Summary | date |
| adapter-transformers |
3.2.1.post0 |
A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models |
2023-12-16 14:14:07 |
| dropgrad-dingo-actual |
0.1.0 |
A PyTorch implementation of DropGrad regularization. |
2023-12-16 10:59:56 |
| dropgrad |
0.1.0 |
A PyTorch implementation of DropGrad regularization. |
2023-12-16 10:59:55 |
| promptbench |
0.0.2 |
PromptBench is a powerful tool designed to scrutinize and analyze the interaction of large language models with various prompts. It provides a convenient infrastructure to simulate **black-box** adversarial **prompt attacks** on the models and evaluate their performances. |
2023-12-16 00:40:10 |
| pytorch-icem |
0.1.0 |
Improved Cross Entropy Method (iCEM) implemented in pytorch |
2023-12-15 22:02:39 |
| pytorch-mppi |
0.7.5 |
Model Predictive Path Integral (MPPI) implemented in pytorch |
2023-12-15 21:55:41 |
| stucco |
1.2.1 |
Soft Tracking Using Contacts for Cluttered Objects |
2023-12-15 19:12:17 |
| diffusersv |
0.25.dev0 |
State-of-the-art diffusion in PyTorch and JAX. |
2023-12-15 02:18:36 |
| moduler |
0.0.5 |
|
2023-12-14 14:22:26 |
| ammico-lavis |
1.0.2.2 |
LAVIS - A One-stop Library for Language-Vision Intelligence |
2023-12-12 12:15:06 |
| chirho |
0.2.0 |
Causal reasoning |
2023-12-11 12:12:20 |
| gauche |
0.1.6 |
Gaussian Process Library for Molecules, Chemical Reactions and Proteins. |
2023-12-11 00:36:18 |
| ezflow |
0.2.5 |
A PyTorch library for optical flow estimation using neural networks |
2023-12-09 03:48:28 |
| vilmedic |
1.3.3 |
ViLMedic is a modular framework for multimodal research at the intersection of vision and language in the medical field. |
2023-12-09 00:11:05 |
| graphpatch |
0.1.0 |
graphpatch is a library for activation patching on PyTorch neural network models. |
2023-12-07 02:03:41 |
| torch-contour |
0.0.2 |
Differentiable contour to mask and contour to distance map implementation with PyTorch |
2023-12-06 16:39:05 |
| rtdl_num_embeddings |
0.0.9 |
On Embeddings for Numerical Features in Tabular Deep Learning. |
2023-12-05 20:22:19 |
| captum |
0.7.0 |
Model interpretability for PyTorch |
2023-12-05 08:32:07 |
| e2eAIOK-deltatuner |
1.1.10 |
Intel extension for peft with PyTorch and DENAS |
2023-12-04 14:21:54 |
| deltatuner |
1.1.10 |
Intel extension for peft with PyTorch and DENAS |
2023-12-04 14:21:53 |