| scikit-optimize/scikit-optimize |
2,700 |
|
80 |
191 |
about 2 years ago |
19 |
October 12, 2021 |
320 |
bsd-3-clause |
Python |
| Sequential model-based optimization with a `scipy.optimize` interface |
| SimonBlanke/Gradient-Free-Optimizers |
1,072 |
|
0 |
7 |
over 2 years ago |
45 |
December 29, 2022 |
7 |
mit |
Python |
| Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. |
| zygmuntz/hyperband |
515 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
other |
Python |
| Tuning hyperparams fast with Hyperband |
| bharathgs/Awesome-Distributed-Deep-Learning |
309 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
|
| A curated list of awesome Distributed Deep Learning resources. |
| awslabs/adatune |
144 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Gradient based Hyperparameter Tuning library in PyTorch |
| lucfra/FAR-HO |
133 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Gradient based hyperparameter optimization & meta-learning package for TensorFlow |
| dut-media-lab/BOML |
124 |
|
0 |
0 |
almost 5 years ago |
8 |
September 19, 2020 |
1 |
mit |
Python |
| Bilevel Optimization Library in Python for Multi-Task and Meta Learning |
| fabianp/hoag |
55 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
|
Python |
| Hyperparameter optimization with approximate gradient |
| ar-nowaczynski/spaceopt |
42 |
|
0 |
0 |
almost 4 years ago |
8 |
July 10, 2022 |
0 |
mit |
Python |
| Hyperparameter optimization via gradient boosting regression |
| davidBelanger/tf-hypergrad |
20 |
|
0 |
0 |
about 10 years ago |
0 |
|
0 |
|
Python |
| simple example of gradient-based hyperparameter optimization using tensorflow |
