Hyperband Snakemake
Orchestrate hyper-parameters search with snakemake
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Advisor | 1,202 | 4 years ago | 5 | October 04, 2018 | 19 | apache-2.0 | Jupyter Notebook | |||
| Open-source implementation of Google Vizier for hyper parameters tuning | ||||||||||
| Hyper Search | 135 |  | 1 | 2 | 4 years ago | 19 | September 07, 2019 | 16 | JavaScript | |
| Search-text plugin for Hyper.js | ||||||||||
| Mlrhyperopt | 31 | 2 years ago | 10 | bsd-3-clause | HTML | |||||
| Easy Hyper Parameter Optimization with mlr and mlrMBO. | ||||||||||
| Enas_nni | 25 | 5 years ago | 5 | Python | ||||||
| This code is for running enas on nni. | ||||||||||
| Customhys | 17 | 5 months ago | 3 | mit | Python | |||||
| Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature. | ||||||||||
| Hpbandster Sklearn | 15 | 2 years ago | mit | Python | ||||||
| A scikit-learn wrapper for HpBandSter hyper parameter search. | ||||||||||
| Keras_bayesianoptimization | 10 | 5 years ago | other | Jupyter Notebook | ||||||
| How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology | ||||||||||
| Search_do | 9 | 16 years ago | mit | Ruby | ||||||
| Hypergoogle | 9 | 4 years ago | 4 | JavaScript | ||||||
| Search Google from the terminal | ||||||||||
| Hyperband Snakemake | 7 | 2 years ago | 2 | August 21, 2020 | gpl-3.0 | Python | ||||
| Orchestrate hyper-parameters search with snakemake | ||||||||||
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