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
May 10, 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
Notebooks about Bayesian methods for machine learning
A modular active learning framework for Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
a distributed Hyperband implementation on Steroids
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Anomaly detection for temporal data using LSTMs
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Generalized and Efficient Blackbox Optimization System.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Bayesian Optimization using GPflow
GPstuff - Gaussian process models for Bayesian analysis
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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