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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.

Autokeras ⭐ 9,023

AutoML library for deep learning

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

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.

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.

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

Keras Tuner ⭐ 2,795

A Hyperparameter Tuning Library for Keras

Darts ⭐ 2,775

Differentiable architecture search for convolutional and recurrent networks

Pocketflow ⭐ 2,553

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

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.

Awesome Autodl ⭐ 2,207

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Auto Pytorch ⭐ 2,158

Automatic architecture search and hyperparameter optimization for PyTorch

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

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.

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Training_extensions ⭐ 1,119

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

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

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

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.

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

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

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

Carefree Learn ⭐ 400

Deep Learning ❤️ PyTorch

Efficient Learning of Augmentation Policy Schedules

A deep learning tool for time series classification and regression

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……

Codefun ⭐ 326

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

Gradsflow ⭐ 303

An open-source AutoML Library based on PyTorch

Pnasnet.pytorch ⭐ 299

PyTorch implementation of PNASNet-5 on ImageNet

Scalecast ⭐ 292

The practitioner's forecasting library

Autovideo ⭐ 284

AutoVideo: An Automated Video Action Recognition System

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

Naszilla ⭐ 269

Naszilla is a Python library for neural architecture search (NAS)

Deephyper ⭐ 253

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

Only_train_once ⭐ 242

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, LLM

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

Active Learning As A Service ⭐ 206

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

Auptimizer ⭐ 195

An automatic ML model optimization tool.

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

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

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.

Autoclint ⭐ 150

A specially designed light version of Fast AutoAugment

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/

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.

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Deep_autoviml ⭐ 117

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Nsga Net ⭐ 114

NSGA-Net, a Neural Architecture Search Algorithm

Petridishnn ⭐ 110

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Opentpod ⭐ 110

Open Toolkit for Painless Object Detection

Pnasnet.tf ⭐ 101

TensorFlow implementation of PNASNet-5 on ImageNet

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Nba_betting ⭐ 93

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Autoalbument ⭐ 89

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Benderopt ⭐ 85

Black-box optimization library

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Automl Tutorial ⭐ 83

Tutorials about AutoML

Awesome Artificial Intelligence Research ⭐ 80

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Awesome Python Machine Learning Resources ⭐ 77

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

Awesome Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

Clara Train Examples ⭐ 77

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

Autokeras ⭐ 71

Package: R Interface to AutoKeras

Ineuron Full Stack Data Science Assignments ⭐ 68

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

Welltunedsimplenets ⭐ 55

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

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

Mindware ⭐ 54

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

[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

Efficientnas ⭐ 46

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Curso Ciencia Datos ⭐ 40

Curso de Ciencia de datos

Automated Modelling for Biological Evidence-based Research

Easiest way to use AI models without coding (Web UI & API support)

A lightweight and visual AutoML system

Metadelta ⭐ 35

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

Deep Learning And Paper ⭐ 33

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、

Managed_ml_systems_and_iot ⭐ 32

Managed Machine Learning Systems and Internet of Things Live Lesson

Deep Learning Note ⭐ 30

个人学习深度学习的代码与笔记

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

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.

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

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