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145 search results found

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Bayesianoptimization ⭐ 7,481

A Python implementation of global optimization with gaussian processes.

Auto Sklearn ⭐ 7,262

Automated Machine Learning with scikit-learn

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

Adaptive Experimentation Platform

Modal ⭐ 2,057

A modular active learning framework for Python

Spearmint ⭐ 1,310

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Gradient Free Optimizers ⭐ 1,072

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 Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Hpbandster ⭐ 551

a distributed Hyperband implementation on Steroids

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Tune Sklearn ⭐ 461

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Experimental Global Optimization Algorithm

Snake Ga ⭐ 360

AI Agent that learns how to play Snake with Deep Q-Learning

Syne Tune ⭐ 342

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Gpflowopt ⭐ 218

Bayesian Optimization using GPflow

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Gaussian Processes for Experimental Sciences

Learn To Select Data ⭐ 131

Code for Learning to select data for transfer learning with Bayesian Optimization

Python package for modular Bayesian optimization

A Bayesian Back End for Design of Experiments

Autooed ⭐ 115

AutoOED: Automated Optimal Experimental Design Platform

Hypertunity ⭐ 114

A toolset for black-box hyperparameter optimisation.

Sd Webui Bayesian Merger ⭐ 111

opinionated bayesian optimisation for stable diffusion models block merge

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Safeopt ⭐ 108

Safe Bayesian Optimization

Chocolate ⭐ 101

A fully decentralized hyperparameter optimization framework

Nn Bayesian Optimization ⭐ 87

We use a modified neural network instead of Gaussian process for Bayesian optimization.

Bayesmark ⭐ 84

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

Simple, but essential Bayesian optimization package

Bayesian Optimization ⭐ 77

Bayesian Optimization algorithms with various recent improvements

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Pre-trained Gaussian processes for Bayesian optimization

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Multi-objective Bayesian optimization

Bbo_challenge_starter_kit ⭐ 64

Starter kit for the black box optimization challenge at Neurips 2020

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

Open Box ⭐ 64

Generalized and Efficient Blackbox Optimization System.

Decision Intelligence for digging best parameters in target environment.

Self Driving Lab Demo ⭐ 54

Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

Mindware ⭐ 54

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Gaussian processes and Bayesian optimization for images and hyperspectral data

Matbench Discovery ⭐ 52

An evaluation framework for machine learning models simulating high-throughput materials discovery.

Keras_gpyopt ⭐ 51

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Bayesian Optimization in JAX

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization

Phoenics ⭐ 46

Phoenics: Bayesian optimization for efficient experiment planning

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Multiobjective black-box optimization using gradient-boosted trees

Autocluster ⭐ 39

AutoML for clustering models in sklearn.

Approxposterior ⭐ 38

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Basicspearmint ⭐ 35

A simple tool for small scale experiments using bayesian optimization

Ultraopt ⭐ 34

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Nextorch ⭐ 34

Experimental design and Bayesian optimization library in Python/PyTorch

Bayes Skopt ⭐ 32

A fully Bayesian implementation of sequential model-based optimization

Bayesian Optimization ⭐ 31

Reference implementation of Optimistic Expected Improvement.

Implementation of Stochastic Gradient MCMC algorithms

Mat_discover ⭐ 27

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Learnable Embedding Space for Efficient Neural Architecture Compression

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Bayeso Benchmarks ⭐ 23

Benchmark functions for Bayesian optimization.

Wheeled Bipedal Jumping ⭐ 23

Height Control and Optimal Torque Planning for Jumping with Wheeled-Bipedal Robots

Bayesian Compression For Deep Learning ⭐ 23

Remplementation of paper https://arxiv.org/abs/1705.08665

Lightweight tools for experimental design and multi-objective optimization.

Mixed-Integer Parallel Efficient Global Optimization

Differential Privacy Bayesian Optimization ⭐ 22

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Ensemble Bayesian Optimization ⭐ 21

Code repository for Ensemble Bayesian Optimization

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

Python package for Preference Learning with Gaussian Processes.

A pipeline to generate user-preferred photo-realistic avatars using stable-diffusion and bayesian-optimization.

Bayesian Optimization with Density-Ratio Estimation

Autoprognosis ⭐ 16

Code for the ICML 2018 paper: "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", by A. M. Alaa and M. van der Schaar.

Chemprop ⭐ 16

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Interactive Bayesian Optimization

Expensiveoptimbenchmark ⭐ 16

Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions

Camelsoptimizer ⭐ 16

Yes, it's a camel case.

Gabotorch ⭐ 15

This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.

Hpbandster Sklearn ⭐ 15

A scikit-learn wrapper for HpBandSter hyper parameter search.

Mosaic_ml ⭐ 15

AutoML with MCTS

Brian2modelfitting ⭐ 14

Model fitting toolbox for the Brian 2 simulator

Mindware ⭐ 14

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Xgboost Lightgbm Hyperparameter Tuning ⭐ 14

Bayesian Optimization and Grid Search for xgboost/lightgbm

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

constrained/unconstrained multi-objective bayesian optimization package.

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

Nips2017 ⭐ 11

Multi-Information Source Optimization

Symmetry crystal combinatorial optimization program for crystal prediction.

Bo_of_cofs ⭐ 11

Python code for the paper Bayesian Optimization of Nanoporous Materials.

Gankenkun_webots ⭐ 11

Control of humanoid robots on webots, walking, deep-learning, Bayesian-optimization

Official implementation of NeurIPS 22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

Projective Preferential Bayesian Optimization

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