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The Top 345 Hyperparameter Optimization Open Source Projects

Categories > Machine Learning > Hyperparameter Optimization
Ray ⭐ 20,489
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
dependent packages 189total releases 71most recent commit 5 hours agopypi ray} Downloads
Nni ⭐ 11,483
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dependent packages 22total releases 49most recent commit 5 hours agopypi nni} Downloads
Tpot ⭐ 8,485
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
dependent packages 18total releases 60most recent commit 3 months agopypi TPOT} Downloads
Optuna ⭐ 6,411
A hyperparameter optimization framework
dependent packages 5total releases 20most recent commit 14 hours ago
Auto Sklearn ⭐ 6,276
Automated Machine Learning with scikit-learn
dependent packages 15total releases 41most recent commit 8 hours agopypi auto-sklearn} Downloads
Hyperopt ⭐ 6,128
Distributed Asynchronous Hyperparameter Optimization in Python
dependent packages 168total releases 13most recent commit 3 months agopypi hyperopt} Downloads
Autogluon ⭐ 4,475
AutoGluon: AutoML for Image, Text, and Tabular Data
dependent packages 10total releases 580most recent commit 3 days agopypi autogluon.core} Downloads
Client ⭐ 3,902
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
dependent packages 207total releases 222most recent commit 15 hours agopypi wandb} Downloads
Awesome Automl Papers ⭐ 3,214
A curated list of automated machine learning papers, articles, tutorials, slides and projects
most recent commit 5 months ago
Polyaxon ⭐ 3,086
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
dependent packages 9total releases 324most recent commit 9 hours agopypi polyaxon} Downloads
Scikit Optimize ⭐ 2,247
Sequential model-based optimization with a `scipy.optimize` interface
dependent packages 94total releases 19most recent commit 5 months agopypi scikit-optimize} Downloads
Hyperas ⭐ 2,103
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
dependent packages 3total releases 9most recent commit 6 months agopypi hyperas} Downloads
Mljar Supervised ⭐ 1,866
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
dependent packages 2total releases 76most recent commit a month agopypi mljar-supervised} Downloads
Flaml ⭐ 1,860
A fast library for AutoML and tuning.
dependent packages 3total releases 59most recent commit 7 hours agopypi FLAML} Downloads
Determined ⭐ 1,701
Determined: Deep Learning Training Platform
dependent packages 1total releases 221most recent commit 5 hours ago
Auto Pytorch ⭐ 1,589
Automatic architecture search and hyperparameter optimization for PyTorch
total releases 3most recent commit 2 months ago
Talos ⭐ 1,514
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
most recent commit a month ago
Auto_ml ⭐ 1,442
[UNMAINTAINED] Automated machine learning for analytics & production
dependent packages 2total releases 78most recent commit 3 years agopypi auto_ml} Downloads
Xcessiv ⭐ 1,232
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
total releases 34most recent commit 4 years ago
Coursera Deep Learning Specialization ⭐ 896
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
most recent commit 3 months ago
Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 856
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
most recent commit 2 months ago
Gradient Free Optimizers ⭐ 844
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
dependent packages 2total releases 36most recent commit 3 months agopypi gradient-free-optimizers} Downloads
Rl Baselines Zoo ⭐ 809
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
most recent commit a year ago
Smac3 ⭐ 688
Sequential Model-based Algorithm Configuration
dependent packages 1total releases 6most recent commit 14 days ago
Rl Baselines3 Zoo ⭐ 684
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
most recent commit 3 days ago
Awesome Automl And Lightweight Models ⭐ 647
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
most recent commit 2 years ago
Hyperparameter_hunter ⭐ 635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
dependent packages 1total releases 16most recent commit a year agopypi hyperparameter-hunter} Downloads
Test Tube ⭐ 567
Python library to easily log experiments and parallelize hyperparameter search for neural networks
dependent packages 3total releases 64most recent commit 2 years agopypi test-tube} Downloads
Hpbandster ⭐ 532
a distributed Hyperband implementation on Steroids
dependent packages 2total releases 8most recent commit a month agopypi hpbandster} Downloads
Neuraxle ⭐ 518
The world's cleanest AutoML framework ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other frameworks and cloud environments.
dependent packages 1total releases 22most recent commit 9 days agopypi neuraxle} Downloads
Hyperband ⭐ 515
Tuning hyperparams fast with Hyperband
most recent commit 4 years ago
Atm ⭐ 481
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
total releases 14most recent commit 2 years ago
Robyn ⭐ 469
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables an
most recent commit 2 days ago
Simple ⭐ 432
Experimental Global Optimization Algorithm
most recent commit 4 years ago
Hyperactive ⭐ 386
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
dependent packages 3total releases 66most recent commit 13 days agopypi hyperactive} Downloads
Fedot ⭐ 380
Automated modeling and machine learning framework FEDOT
total releases 12most recent commit 2 days ago
Octis ⭐ 364
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
total releases 27most recent commit 5 days ago
Hypersearch ⭐ 352
Hyperparameter optimization for PyTorch.
most recent commit 4 years ago
Awesome Distributed Deep Learning ⭐ 309
A curated list of awesome Distributed Deep Learning resources.
most recent commit 6 months ago
Sherpa ⭐ 294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
dependent packages 1total releases 8most recent commit 2 years agopypi parameter-sherpa} Downloads
Shap Hypetune ⭐ 287
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
total releases 8most recent commit 2 months ago
My Data Competition Experience ⭐ 271
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
most recent commit a year ago
Lale ⭐ 256
Library for Semi-Automated Data Science
dependent packages 1total releases 61most recent commit 7 hours agopypi lale} Downloads
Orion ⭐ 226
Asynchronous Distributed Hyperparameter Optimization.
dependent packages 2total releases 16most recent commit a day agopypi orion} Downloads
Bayesian Optimization ⭐ 218
Python code for bayesian optimization using Gaussian processes
most recent commit 5 years ago
Gpflowopt ⭐ 218
Bayesian Optimization using GPflow
most recent commit a year ago
Cooka ⭐ 209
A lightweight and visualization AutoML system
most recent commit 5 months ago
Hypernets ⭐ 200
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
dependent packages 4total releases 6most recent commit 2 days ago
Optuna Dashboard ⭐ 198
Real-time Web Dashboard for Optuna.
dependent packages 1total releases 18most recent commit 8 days agopypi optuna-dashboard} Downloads
Optuna Examples ⭐ 188
Examples for https://github.com/optuna/optuna
most recent commit 3 days ago
Auptimizer ⭐ 182
An automatic ML model optimization tool.
total releases 7most recent commit 3 months ago
Deephyper ⭐ 181
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
dependent packages 1total releases 24most recent commit 24 days agopypi deephyper} Downloads
Mlrmbo ⭐ 178
Toolbox for Bayesian Optimization and Model-Based Optimization in R
dependent packages 6total releases 7most recent commit 2 months ago
Btb ⭐ 167
A simple, extensible library for developing AutoML systems
dependent packages 5total releases 28most recent commit 4 months agopypi baytune} Downloads
Tscv ⭐ 166
Time Series Cross-Validation -- an extension for scikit-learn
dependent packages 3total releases 8most recent commit 3 months agopypi tscv} Downloads
Cornell Moe ⭐ 165
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
most recent commit 2 years ago
Cmaes ⭐ 147
Python library for CMA Evolution Strategy.
dependent packages 2total releases 15most recent commit 5 months agopypi cmaes} Downloads
Deep_architect_legacy ⭐ 146
DeepArchitect: Automatically Designing and Training Deep Architectures
most recent commit 3 years ago
Codeflare ⭐ 145
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
total releases 4most recent commit 4 months ago
Adatune ⭐ 144
Gradient based Hyperparameter Tuning library in PyTorch
most recent commit 2 years ago
Hyperopt.jl ⭐ 143
Hyperparameter optimization in Julia.
most recent commit 10 days ago
Hype ⭐ 139
Hype: Compositional Machine Learning and Hyperparameter Optimization
total releases 4most recent commit 2 years ago
Far Ho ⭐ 133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
most recent commit 2 years ago
Automl_alex ⭐ 127
State-of-the art Automated Machine Learning python library for Tabular Data
total releases 32most recent commit a year ago
Milano ⭐ 127
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
most recent commit 4 years ago
Boml ⭐ 124
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
total releases 8most recent commit a year ago
Pbt ⭐ 122
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
most recent commit 4 years ago
Mango ⭐ 118
Parallel Hyperparameter Tuning in Python
dependent packages 1total releases 3most recent commit 2 months agopypi arm-mango} Downloads
Hypertunity ⭐ 114
A toolset for black-box hyperparameter optimisation.
total releases 3most recent commit 2 years ago
Scicloj.ml ⭐ 110
A Clojure machine learning library
most recent commit 13 days ago
Seml ⭐ 104
SEML: Slurm Experiment Management Library
most recent commit a month ago
Syne Tune ⭐ 104
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
most recent commit 2 days ago
Randopt ⭐ 102
Streamlined machine learning experiment management.
most recent commit 2 years ago
Chocolate ⭐ 101
A fully decentralized hyperparameter optimization framework
most recent commit 3 years ago
Deep_architect ⭐ 98
A general, modular, and programmable architecture search framework
most recent commit 2 years ago
Sklearn Genetic Opt ⭐ 93
Hyperparameters tuning and feature selection, using evolutionary algorithms.
most recent commit 2 months ago
Hord ⭐ 91
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
most recent commit 5 years ago
Hyperopt Keras Cnn Cifar 100 ⭐ 87
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
most recent commit 4 years ago
Maggy ⭐ 80
Distribution transparent Machine Learning experiments on Apache Spark
most recent commit 14 days ago
Hpobench ⭐ 77
Collection of hyperparameter optimization benchmark problems
most recent commit 2 days ago
Ml Pipeline ⭐ 74
Using Kafka-Python to illustrate a ML production pipeline
most recent commit a year ago
Matdeeplearn ⭐ 74
MatDeepLearn, package for graph neural networks in materials chemistry
most recent commit 24 days ago
Osprey ⭐ 72
🦅Hyperparameter optimization for machine learning pipelines 🦅
most recent commit 3 years ago
Kitti Distance Estimation ⭐ 71
Estimating distance to objects in the scene using detection information
most recent commit a year ago
Mgo ⭐ 69
Purely functional genetic algorithms for multi-objective optimisation
most recent commit 5 months ago
Hyper Engine ⭐ 69
Python library for Bayesian hyper-parameters optimization
most recent commit 4 years ago
Bayeso ⭐ 68
Simple, but essential Bayesian optimization package
most recent commit 3 months ago
Bbopt ⭐ 66
Black box hyperparameter optimization made easy.
most recent commit 13 days ago
Hpolib1.5 ⭐ 65
most recent commit 2 years ago
Autotune ⭐ 63
Autonomous Performance Tuning for Kubernetes !
most recent commit 6 hours ago
Gama ⭐ 62
An automated machine learning tool aimed to facilitate AutoML research.
most recent commit 10 days ago
Hoag ⭐ 55
Hyperparameter optimization with approximate gradient
most recent commit a year ago
Mljtuning.jl ⭐ 51
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
most recent commit a month ago
Gentun ⭐ 50
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
most recent commit a year ago
Hypertune ⭐ 49
A library for performing hyperparameter optimization
most recent commit a month ago
Deep_traffic ⭐ 49
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
most recent commit 10 months ago
Sap Hana Automl ⭐ 47
Python Automated Machine Learning library for tabular data.
most recent commit 2 months ago
Scikit Hyperband ⭐ 46
A scikit-learn compatible implementation of hyperband
most recent commit 3 years ago
Nas_benchmarks ⭐ 43
most recent commit 3 years ago
Spaceopt ⭐ 42
Optimize discrete search spaces via gradient boosting regression
most recent commit 5 months ago
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