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129 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.

Wandb ⭐ 8,136

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Autogluon ⭐ 7,027

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

Flaml ⭐ 3,500

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

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Scikit Optimize ⭐ 2,700

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

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.

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

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

Test Tube ⭐ 719

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Hyperparameter_hunter ⭐ 635

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

Automated modeling and machine learning framework FEDOT

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

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

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

Awesome Distributed Deep Learning ⭐ 309

A curated list of awesome Distributed Deep Learning resources.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Parallel Hyperparameter Tuning in Python

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

Deephyper ⭐ 253

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

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Sklearn Genetic Opt ⭐ 236

ML hyperparameters tuning and features selection, using evolutionary algorithms.

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

Gpflowopt ⭐ 218

Bayesian Optimization using GPflow

Codeflare ⭐ 199

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Scicloj.ml ⭐ 176

A Clojure machine learning library

Automl_alex ⭐ 171

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

Cornell Moe ⭐ 165

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Hype: Compositional Machine Learning and Hyperparameter Optimization

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.

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

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

Metadata store for Production ML

Pyhopper ⭐ 82

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

Simple, but essential Bayesian optimization package

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Ml Pipeline ⭐ 74

Using Kafka-Python to illustrate a ML production pipeline

🦅Hyperparameter optimization for machine learning pipelines 🦅

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Mljtuning.jl ⭐ 65

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Intrusion Detection System Using Cnn And Transfer Learning ⭐ 54

Code for intrusion detection system (IDS) development using CNN models and transfer learning

Mindware ⭐ 54

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

Deep_traffic ⭐ 49

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Mlr3tuning ⭐ 46

Hyperparameter optimization package of the mlr3 ecosystem

Scikit Hyperband ⭐ 46

A scikit-learn compatible implementation of hyperband

Sap Hana Automl ⭐ 45

Python Automated Machine Learning library for tabular data.

Spaceopt ⭐ 42

Hyperparameter optimization via gradient boosting regression

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Naivegaflux.jl ⭐ 41

Evolve Flux networks from scratch!

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

Mlrhyperopt ⭐ 31

Easy Hyper Parameter Optimization with mlr and mlrMBO.

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

An abstraction layer for parameter tuning

Spark Parameter Optimization and Tuning

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

Wandb Offline Sync Hook ⭐ 26

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

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.

Machine Learning Tool Box

Go Bayesopt ⭐ 25

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

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.

Flexible Bayesian Optimization in R

Naivenasflux.jl ⭐ 23

Your local Flux surgeon

Sacred_hyperopt_example ⭐ 22

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

Gbm Tune ⭐ 21

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

Polyaxon Core Client & CLI to streamline MLOps

MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

Black-box optimization framework for R.

Tools for Optuna, MLflow and the integration of both.

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Naivenaslib.jl ⭐ 17

Relentless mutation!!

Optuna Distributed ⭐ 17

Distributed hyperparameter optimization made easy

[NeurIPS DBT 2021] HPO-B

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