automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
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Latest capture 2026-07-07 03:14
6 captures since 2026-05-22
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Scanned 2026-07-07 03:14
pyproject.toml
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
.binder/requirements.txt
python ecosystem,
0 dependencies
benchmark/requirements.txt
python ecosystem,
0 dependencies
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Automatic architecture search and hyperparameter optimization for PyTorch
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Distributed Asynchronous Hyperparameter Optimization in Python
Sequential model-based optimization with a `scipy.optimize` interface
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
https://automl.github.io/SMAC3/latest/
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