conda-forge.org : hypernets
Hypernets is a general AutoML framework, based on which it can implement automatic optimization tools for various machine learning frameworks and libraries, including deep learning frameworks such as tensorflow, keras, pytorch, and machine learning libraries like sklearn, lightgbm, xgboost, etc. We introduced an abstract search space representation, taking into account the requirements of hyperparameter optimization and neural architecture search(NAS), making Hypernets a general framework that can adapt to various automated machine learning needs.
Registry
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Source
- JSON
- codemeta.json
purl: pkg:conda/hypernets?repository_url=https://conda-forge.org
Keywords:
autodl
, automl
, enas
, evolutionary-algorithms
, hyperparameter-optimization
, hyperparameter-tuning
, keras
, mcts
, monte-carlo-tree-search
, nas
, nasnet
, neural-architecture-search
, reinforcement-learning
License: Apache-2.0
Latest release: almost 4 years ago
First release: about 4 years ago
Dependent packages: 4
Stars: 266 on GitHub
Forks: 40 on GitHub
Total Commits: 1181
Committers: 15
Average commits per author: 78.733
Development Distribution Score (DDS): 0.513
More commit stats: commits.ecosyste.ms
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Last synced: 13 days ago