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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.

Best Of Ml Python ⭐ 14,990

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

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

Autokeras ⭐ 9,023

AutoML library for deep learning

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Featuretools ⭐ 7,009

An open source python library for automated feature engineering

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Machinelearning Samples ⭐ 4,259

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Zenml ⭐ 3,626

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Flaml ⭐ 3,500

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

Statsforecast ⭐ 3,339

Lightning ⚡️ fast forecasting with statistical and econometric models.

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

Awesome Mlops ⭐ 3,233

😎 A curated list of awesome MLOps tools

Merlion ⭐ 3,179

Merlion: A Machine Learning Framework for Time Series Intelligence

a delightful machine learning tool that allows you to train, test, and use models without writing code

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

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Lazypredict ⭐ 2,275

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Machine Learning ⭐ 2,260

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Awesome System For Machine Learning ⭐ 2,244

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

Transmogrifai ⭐ 2,099

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Metarank ⭐ 1,949

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Libra ⭐ 1,927

Ergonomic machine learning for everyone.

Automl Gs ⭐ 1,642

Provide an input CSV and a target field to predict, generate a model + code to run it.

High-Performance Symbolic Regression in Python and Julia

Autoviz ⭐ 1,550

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

H2o Tutorials ⭐ 1,403

Tutorials and training material for the H2O Machine Learning Platform

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Modelfox ⭐ 1,354

ModelFox makes it easy to train, deploy, and monitor machine learning models.

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Training_extensions ⭐ 1,119

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

TODS: An Automated Time-series Outlier Detection System

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Morph Net ⭐ 1,010

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Tensorflow 101 ⭐ 987

TensorFlow 101: Introduction to Deep Learning

Automated Time Series Forecasting

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Genetic neural architecture search with Keras

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Lightautoml ⭐ 769

LAMA - automatic model creation framework

Kaggler ⭐ 723

Code for Kaggle Data Science Competitions

Keras Idiomatic Programmer ⭐ 705

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

EvalML is an AutoML library written in python.

Lightautoml ⭐ 678

Fast and customizable framework for automatic ML model creation (AutoML)

Machine learning for Ruby

Automated modeling and machine learning framework FEDOT

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.

Symbolicregression.jl ⭐ 484

Distributed High-Performance Symbolic Regression in Julia

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

Chan.py ⭐ 481

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视

Auto_viml ⭐ 473

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

Compose ⭐ 449

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Automl Implementation For Static And Dynamic Data Analytics ⭐ 443

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

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

Machinejs ⭐ 412

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Autofeat ⭐ 410

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Sapientml ⭐ 407

Generative AutoML for Tabular Data

Carefree Learn ⭐ 400

Deep Learning ❤️ PyTorch

Efficient Learning of Augmentation Policy Schedules

Lightwood ⭐ 394

Lightwood is Legos for Machine Learning.

Automlbenchmark ⭐ 350

OpenML AutoML Benchmarking Framework

Awesome H2o ⭐ 345

A curated list of research, applications and projects built using the H2O Machine Learning platform

Deep Learning ⭐ 333

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

Automlpipeline.jl ⭐ 331

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Codefun ⭐ 326

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeployi

Library for Semi-Automated Data Science

Pyglove ⭐ 311

Manipulating Python Programs

Gradsflow ⭐ 303

An open-source AutoML Library based on PyTorch

Scalecast ⭐ 292

The practitioner's forecasting library

Asynchronous Distributed Hyperparameter Optimization.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

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

Sklearn Genetic Opt ⭐ 236

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Amazon Sagemaker Immersion Day ⭐ 233

R Library for Analytics and Machine Learning

Nascell Automl ⭐ 223

Active Learning As A Service ⭐ 206

A scalable & efficient active learning/data selection system for everyone.

Autogoal ⭐ 203

A Python framework for program synthesis with a focus on Automated Machine Learning.

Codeflare ⭐ 199

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

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

Automl_alex ⭐ 171

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

Autosklearn Zeroconf ⭐ 163

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Auto Tensorflow ⭐ 142

Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/

Tensorflow Lifetime Value ⭐ 140

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

Automated Tool for Optimized Modelling

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

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

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

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