| jettify/pytorch-optimizer |
2,882 |
|
0 |
44 |
over 2 years ago |
21 |
October 31, 2021 |
50 |
apache-2.0 |
Python |
| torch-optimizer -- collection of optimizers for Pytorch |
| hoya012/CVPR-2019-Paper-Statistics |
525 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR) |
| titu1994/Snapshot-Ensembles |
277 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Snapshot Ensemble in Keras |
| librahu/HIN-Datasets-for-Recommendation-and-Network-Embedding |
215 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
|
|
| Heterogeneous Information Network Datasets for Recommendation and Network Embedding |
| lnsmith54/super-convergence |
168 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Shell |
| Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates" |
| gbaydin/hypergradient-descent |
95 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
mit |
Python |
| Hypergradient descent |
| taki0112/RAdam-Tensorflow |
95 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
mit |
Python |
| Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond" |
| learn-data-science/data-science-reading |
90 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| Data science papers to read and discuss. |
| ucla-labx/distbelief |
79 |
|
0 |
0 |
about 7 years ago |
1 |
August 22, 2018 |
5 |
gpl-3.0 |
Python |
| Implementing Google's DistBelief paper |
| titu1994/keras_rectified_adam |
71 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of Rectified Adam in Keras |
