| Name | Version | Summary | date |
| tinyimagenet |
0.9.9 |
Dataset class for PyTorch and the TinyImageNet dataset, with automated download and extraction. |
2023-12-26 23:06:04 |
| sparsify |
1.6.1 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2023-12-20 14:28:37 |
| sparseml |
1.6.1 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2023-12-20 14:24:12 |
| torchstuff |
0.0.1 |
Geometry processing and deep learning utilities for PyTorch. |
2023-12-20 10:33:29 |
| graphpatch |
0.1.0 |
graphpatch is a library for activation patching on PyTorch neural network models. |
2023-12-07 02:03:41 |
| rtdl_num_embeddings |
0.0.9 |
On Embeddings for Numerical Features in Tabular Deep Learning. |
2023-12-05 20:22:19 |
| rtdl_revisiting_models |
0.0.2 |
Revisiting Deep Learning Models for Tabular Data. |
2023-11-30 11:32:57 |
| delu |
0.0.23 |
Deep Learning Utilities for PyTorch users. |
2023-11-07 22:42:24 |
| colab2pdf |
1.0.0a14 |
Convert Your Colab Notebook to a PDF. One-Minute Install. Zero Configuration. |
2023-11-05 15:12:32 |
| deltatorch |
0.0.3 |
DeltaTorch allows loading training data from DeltaLake tables for training Deep Learning models using PyTorch |
2023-10-31 11:13:38 |
| piqa |
1.3.2 |
PyTorch Image Quality Assessment |
2023-10-30 10:17:09 |
| loft |
0.0.3 |
A fresh package for training & validating & evaling under data-parrallel distribution. This package is avaliable for torch and paddle deep-learning frameworks. |
2023-10-27 18:50:51 |
| matrepr |
1.0.0 |
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration. |
2023-10-26 04:58:26 |
| kerastorch |
1.0.3 |
llm model process for pytorch |
2023-10-15 01:38:36 |
| nn-template-core |
0.4.0 |
Utility library for nn-template. |
2023-10-12 08:44:47 |
| llmtorch |
1.0.22 |
llm model process for pytorch |
2023-10-09 01:59:24 |
| torch-eyepacs |
0.2 |
Dataset class for PyTorch and the EyePACS & EyeQ datasets, with automated extraction (download). |
2023-10-05 18:24:03 |
| sygnet |
0.0.13 |
Synthetic data using Generative Adversarial Networks |
2023-10-04 16:54:59 |
| lampe |
0.8.2 |
Likelihood-free AMortized Posterior Estimation with PyTorch |
2023-10-04 09:24:22 |
| twiss |
0.2.4 |
Differentiable Wolski twiss matrices computation for arbitrary dimension stable symplectic matrices |
2023-09-24 14:17:59 |