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)
smac
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
metasklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
rapidx
A toolbox that integrates with PyTorch-Lightning which helps in running and managing multiple codebases
drugresponseeval
Pipeline for testing drug response prediction models in a statistically and biologically sound way.
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.
dpl
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
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"