| hoangcuong2011/Good-Papers |
231 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
|
| I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers |
| maxim5/hyper-engine |
69 |
|
1 |
0 |
over 7 years ago |
2 |
February 10, 2018 |
8 |
apache-2.0 |
Python |
| Python library for Bayesian hyper-parameters optimization |
| jonghough/jlearn |
55 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
J |
| Machine Learning Library, written in J |
| rhaps0dy/convnets-as-gps |
36 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
bsd-2-clause |
Python |
| Code for "Deep Convolutional Networks as shallow Gaussian Processes" |
| shgaurav1/DVG |
14 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Python |
| Diverse Video Generation using a Gaussian Process Trigger |
| convnets-as-gps/convnets-as-gps |
10 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
bsd-2-clause |
Python |
| Code for "Deep Convolutional Networks as shallow Gaussian Processes" |
| data-datum/deep_learning_onboarding |
8 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
|
| List of resources for deep learning |
| rogertrullo/Bayesian-Methods-for-Machine-Learning |
8 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Bayesian Methods for Machine Learning |
| releaunifreiburg/DyHPO |
8 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations |
