PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms - Published in JOSS (2024)
BayesO
BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)
flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
smac
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
neural-pipeline-search
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
metasklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
agilerl
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
bayesian-hyper-parameter-optimization-for-malware-detection
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
propulate
Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
mlp_hpp_analysis
This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"
dpl
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.