An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Updated
Jul 3, 2024 - Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python implementation of global optimization with gaussian processes.
Automated Machine Learning with scikit-learn
Sequential model-based optimization with a `scipy.optimize` interface
A modular active learning framework for Python
Notebooks about Bayesian methods for machine learning
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
a distributed Hyperband implementation on Steroids
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Experimental Global Optimization Algorithm
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Generalized and Efficient Blackbox Optimization System
Parallel Hyperparameter Tuning in Python
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