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176 search results found

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

D2l En ⭐ 20,613

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

Optuna ⭐ 9,572

A hyperparameter optimization framework

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Auto Sklearn ⭐ 7,262

Automated Machine Learning with scikit-learn

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Hyperopt ⭐ 6,979

Distributed Asynchronous Hyperparameter Optimization in Python

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Keras Tuner ⭐ 2,795

A Hyperparameter Tuning Library for Keras

Scikit Optimize ⭐ 2,700

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

Auto Pytorch ⭐ 2,158

Automatic architecture search and hyperparameter optimization for PyTorch

Hyperas ⭐ 2,147

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Talos ⭐ 1,596

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Xcessiv ⭐ 1,232

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

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.

Rl Baselines Zoo ⭐ 1,025

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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)

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Automated modeling and machine learning framework FEDOT

Hpbandster ⭐ 551

a distributed Hyperband implementation on Steroids

Optuna Examples ⭐ 538

Examples for https://github.com/optuna/optuna

Neuraxle ⭐ 533

The world's cleanest AutoML library ✨ - 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 libraries, frameworks and MLOps environments.

Hyperband ⭐ 515

Tuning hyperparams fast with Hyperband

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Hyperactive ⭐ 475

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

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

Experimental Global Optimization Algorithm

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Hypersearch ⭐ 352

Hyperparameter optimization for PyTorch.

Syne Tune ⭐ 342

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

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Library for Semi-Automated Data Science

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Python library for CMA Evolution Strategy.

Asynchronous Distributed Hyperparameter Optimization.

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

Hypernets ⭐ 256

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Deephyper ⭐ 253

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Sklearn Genetic Opt ⭐ 236

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Time Series Cross-Validation -- an extension for scikit-learn

Hyperts ⭐ 225

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Gpflowopt ⭐ 218

Bayesian Optimization using GPflow

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Automl_alex ⭐ 171

State-of-the art Automated Machine Learning python library for Tabular Data

SEML: Slurm Experiment Management Library

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Hypertunity ⭐ 114

A toolset for black-box hyperparameter optimisation.

Chocolate ⭐ 101

A fully decentralized hyperparameter optimization framework

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Hyperparameter Optimization ⭐ 93

Code repository for the online course Hyperparameter Optimization for Machine Learning

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Metadata store for Production ML

Distribution transparent Machine Learning experiments on Apache Spark

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.

Simple, but essential Bayesian optimization package

An automated machine learning tool aimed to facilitate AutoML research.

Pyhopper ⭐ 82

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Black box hyperparameter optimization made easy.

🦅Hyperparameter optimization for machine learning pipelines 🦅

Kitti Distance Estimation ⭐ 71

Estimating distance to objects in the scene using detection information

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Hpolib1.5 ⭐ 65

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Hyperparameter optimization with approximate gradient

Welltunedsimplenets ⭐ 55

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

Mindware ⭐ 54

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

Scikit Hyperband ⭐ 46

A scikit-learn compatible implementation of hyperband

Sap Hana Automl ⭐ 45

Python Automated Machine Learning library for tabular data.

Multiobjective black-box optimization using gradient-boosted trees

Nas_benchmarks ⭐ 43

Framework of intelligent optimization methods iOpt

Spaceopt ⭐ 42

Hyperparameter optimization via gradient boosting regression

Chess Tuning Tools ⭐ 40

A collection of scripts aimed at efficiently tuning chess engine parameters.

Vectorboard ⭐ 39

Open Source Embeddings Optimisation and Eval Framework for RAG/LLM Applications. Documentations at https://docs.vectorboard.ai/introduction

Autocluster ⭐ 39

AutoML for clustering models in sklearn.

Hyperopt Nnet ⭐ 37

Hyperparameter optimization for neural networks

A lightweight and visual AutoML system

Ultraopt ⭐ 34

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

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Bayes Skopt ⭐ 32

A fully Bayesian implementation of sequential model-based optimization

Allennlp Optuna ⭐ 30

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

An abstraction layer for parameter tuning

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

Sigopt Server ⭐ 29

Open Source version of SigOpt API, performing hyperparameter optimization and visualization

Train, evaluate, and optimize implicit feedback-based recommender systems.

Cerebros Core Algorithm Alpha ⭐ 26

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Wandb Offline Sync Hook ⭐ 26

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

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