Popular GitHub Repositories for Hpo

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

An automatic ML model optimization tool.

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Automatic machine learning for tabular data. ???

Bayesian Optimization Hyperband Hyperparameter Optimization

[NeurIPS DBT 2021] HPO-B

Flexible Bayesian Optimization in R

HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient

Hyperparameters-Optimization

[KDD 2023] Deep Pipeline Embeddings for AutoML

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Model Parameter Identification via a Hyperparameter Optimization Scheme (MI-HPO)

Python Framework for An Investigation into Unsupervised GNN Learning Environments

AI Diagnosis Assistant for Diagnosing Rare Diseases

A lightweight framework for benchmarking HPO algorithms

A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models