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The Top 58 Hyperparameter Optimization Open Source Projects
Categories
>
Machine Learning
>
Hyperparameter Optimization
Ray
⭐
15,075
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.
Nni
⭐
9,217
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Tpot
⭐
7,871
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Auto Sklearn
⭐
5,253
Automated Machine Learning with scikit-learn
Optuna
⭐
4,194
A hyperparameter optimization framework
Autogluon
⭐
3,020
AutoGluon: AutoML for Text, Image, and Tabular Data
Awesome Automl Papers
⭐
2,858
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Hyperas
⭐
2,080
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Auto_ml
⭐
1,523
[UNMAINTAINED] Automated machine learning for analytics & production
Talos
⭐
1,381
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Xcessiv
⭐
1,254
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Determined
⭐
1,158
Determined: Deep Learning Training Platform
Mljar Supervised
⭐
935
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Rl Baselines Zoo
⭐
821
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Awesome Automl And Lightweight Models
⭐
685
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.
Test Tube
⭐
661
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Gradient Free Optimizers
⭐
650
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical search spaces.
Hyperparameter_hunter
⭐
648
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Smac3
⭐
562
Sequential Model-based Algorithm Configuration
Hyperband
⭐
556
Tuning hyperparams fast with Hyperband
Atm
⭐
503
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Hyperparameter Optimization Of Machine Learning Algorithms
⭐
500
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Hpbandster
⭐
454
a distributed Hyperband implementation on Steroids
Simple
⭐
450
Experimental Global Optimization Algorithm
Neuraxle
⭐
376
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Hypersearch
⭐
374
Hyperparameter optimization for PyTorch.
Sherpa
⭐
286
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Awesome Distributed Deep Learning
⭐
274
A curated list of awesome Distributed Deep Learning resources.
My Data Competition Experience
⭐
267
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
Bayesian Optimization
⭐
242
Python code for bayesian optimization using Gaussian processes
Gpflowopt
⭐
229
Bayesian Optimization using GPflow
Cornell Moe
⭐
198
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Lale
⭐
191
Library for Semi-Automated Data Science
Orion
⭐
184
Asynchronous Distributed Hyperparameter Optimization.
Mlrmbo
⭐
171
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Coursera Deep Learning Specialization
⭐
171
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
Auptimizer
⭐
162
An automatic ML model optimization tool.
Far Ho
⭐
159
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Btb
⭐
157
A simple, extensible library for developing AutoML systems
Hyperactive
⭐
146
A hyperparameter optimization and meta-learning toolbox for convenient and fast prototyping of machine-/deep-learning models.
Mlmodels
⭐
145
mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Deep_architect_legacy
⭐
144
DeepArchitect: Automatically Designing and Training Deep Architectures
Tscv
⭐
143
Time Series Cross-Validation -- an extension for scikit-learn
Rl Baselines3 Zoo
⭐
143
A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Milano
⭐
140
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Pbt
⭐
138
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Automl_alex
⭐
125
State-of-the art Automated Machine Learning python library for Tabular Data
Deeplearning Notes
⭐
121
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Boml
⭐
120
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Hypertunity
⭐
119
A toolset for black-box hyperparameter optimisation.
Chocolate
⭐
113
A fully decentralized hyperparameter optimization framework
Deephyper
⭐
113
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Deep_architect
⭐
109
A general, modular, and programmable architecture search framework
Hord
⭐
99
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Hyperopt Keras Cnn Cifar 100
⭐
96
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Mgo
⭐
63
Purely functional genetic algorithms for multi-objective optimisation
Bayeso
⭐
56
Simple, but essential Bayesian optimization package
Deep_traffic
⭐
47
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
1-58 of 58 projects
Advertising
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📦 192
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📦 78
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📦 73
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📦 113
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📦 80
Code Quality
📦 28
Collaboration
📦 32
Command Line Interface
📦 49
Community
📦 83
Companies
📦 60
Compilers
📦 63
Computer Science
📦 80
Configuration Management
📦 42
Content Management
📦 175
Control Flow
📦 213
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📦 78
Data Processing
📦 276
Data Storage
📦 135
Economics
📦 64
Frameworks
📦 215
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📦 129
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📦 110
Hardware
📦 152
Integrated Development Environments
📦 49
Learning Resources
📦 166
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📦 29
Libraries
📦 129
Lists Of Projects
📦 22
Machine Learning
📦 347
Mapping
📦 64
Marketing
📦 15
Mathematics
📦 55
Media
📦 239
Messaging
📦 98
Networking
📦 315
Operating Systems
📦 89
Operations
📦 121
Package Managers
📦 55
Programming Languages
📦 245
Runtime Environments
📦 100
Science
📦 42
Security
📦 396
Social Media
📦 27
Software Architecture
📦 72
Software Development
📦 72
Software Performance
📦 58
Software Quality
📦 133
Text Editors
📦 49
Text Processing
📦 136
User Interface
📦 330
User Interface Components
📦 514
Version Control
📦 30
Virtualization
📦 71
Web Browsers
📦 42
Web Servers
📦 26
Web User Interface
📦 210