| 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 |
| kondiz/fraternal-dropout |
61 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
bsd-3-clause |
Python |
| Angel-ML/automl |
44 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
apache-2.0 |
Scala |
| An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering. |
| Hvass-Labs/MetaOps |
39 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization) |
| gifford-lab/Keras-genomics |
38 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
other |
Python |
| Perform hyper-parameter tuning, training, testing and prediction with Keras |
| jakob-r/mlrHyperopt |
31 |
|
0 |
0 |
over 4 years ago |
0 |
|
10 |
bsd-3-clause |
HTML |
| Easy Hyper Parameter Optimization with mlr and mlrMBO. |
| KSpiliop/Fraud_Detection |
30 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Tuning XGBoost hyper-parameters with Simulated Annealing |
| timzatko/Sklearn-Nature-Inspired-Algorithms |
27 |
|
0 |
0 |
over 2 years ago |
27 |
August 05, 2023 |
3 |
mit |
Python |
| Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models. |
| countif/enas_nni |
25 |
|
0 |
0 |
about 7 years ago |
0 |
|
5 |
|
Python |
| This code is for running enas on nni. |
| denik/vwoptimize |
15 |
|
0 |
0 |
about 8 years ago |
17 |
March 06, 2018 |
0 |
mit |
Python |
| Drop-in wrapper for Vowpal Wabbit that adds hyper-parameter tuning, more performance metrics, text preprocessing, reading from csv/tsv, feature extraction and k-fold cross-validation |
