| maxpumperla/elephas |
1,548 |
|
0 |
0 |
over 3 years ago |
2 |
June 02, 2021 |
17 |
mit |
Python |
| Distributed Deep learning with Keras & Spark |
| tobegit3hub/advisor |
1,202 |
|
0 |
0 |
over 6 years ago |
5 |
October 04, 2018 |
19 |
apache-2.0 |
Jupyter Notebook |
| Open-source implementation of Google Vizier for hyper parameters tuning |
| LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms |
1,025 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) |
| baggepinnen/Hyperopt.jl |
191 |
|
0 |
0 |
over 2 years ago |
0 |
|
17 |
other |
Julia |
| Hyperparameter optimization in Julia. |
| seba-1511/randopt |
102 |
|
0 |
0 |
almost 6 years ago |
15 |
April 27, 2020 |
13 |
apache-2.0 |
HTML |
| Streamlined machine learning experiment management. |
| lmassaron/kaggledays-2019-gbdt |
93 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop |
| mblum/libgp |
76 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
bsd-3-clause |
C++ |
| Gaussian process library for machine learning |
| 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 |
| shibuiwilliam/keras_gpyopt |
51 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model. |
| nicklashansen/neural-net-optimization |
49 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementations of recent optimization algorithms for deep learning. |
