| danielhanchen/hyperlearn |
1,387 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. |
| rusty1s/pytorch_sparse |
919 |
|
17 |
58 |
about 2 years ago |
31 |
October 06, 2023 |
27 |
mit |
Python |
| PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations |
| parrt/tensor-sensor |
634 |
|
0 |
0 |
about 4 years ago |
37 |
December 11, 2021 |
8 |
mit |
Jupyter Notebook |
| The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai. |
| tatp22/linformer-pytorch |
323 |
|
0 |
0 |
over 3 years ago |
41 |
October 10, 2020 |
2 |
mit |
Python |
| My take on a practical implementation of Linformer for Pytorch. |
| Adi-iitd/AI-Art |
298 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream! |
| bamos/block |
260 |
|
4 |
0 |
about 4 years ago |
5 |
April 12, 2017 |
5 |
apache-2.0 |
Python |
| An intelligent block matrix library for numpy, PyTorch, and beyond. |
| yoyololicon/pytorch-NMF |
187 |
|
0 |
0 |
almost 3 years ago |
5 |
March 28, 2021 |
5 |
mit |
Python |
| A pytorch package for non-negative matrix factorization. |
| utiasSTARS/liegroups |
143 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
mit |
Python |
| Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch |
| cemoody/simple_mf |
123 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Simple but Flexible Recommendation Engine in PyTorch |
| eugeneyan/recsys-nlp-graph |
115 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline. |
