Automl Open Source Projects

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

Fast and Accurate ML in 3 Lines of Code

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

AutoML library for deep learning

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

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.

Google Brain AutoML

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

:sunglasses: A curated list of awesome MLOps tools

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Differentiable architecture search for convolutional and recurrent networks

High-Performance Symbolic Regression in Python and Julia

Fast and flexible AutoML with learning guarantees.

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

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

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

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

A Hyperparameter Tuning Library for Keras

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

Time Series Forecasting Best Practices & Examples

Automatic architecture search and hyperparameter optimization for PyTorch

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

A framework for large scale recommendation algorithms.

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

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

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

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，可视化绘图，多种数据接入，策略开发，交易系统对接；

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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

Java and Kotlin Code samples used on cloud.google.com

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

This is a collection of our NAS and Vision Transformer work.

Python AutoML for Trading Systems and Sports Betting

TODS: An Automated Time-series Outlier Detection System

[UNMAINTAINED] Automated machine learning for analytics & production

Official Implementation of 'Fast AutoAugment' in PyTorch.

Automated deep learning algorithms implemented in PyTorch.

Open-source implementation of Google Vizier for hyper parameters tuning

MLBox is a powerful Automated Machine Learning python library.

Tutorials and training material for the H2O Machine Learning Platform

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

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

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Automated Time Series Forecasting

Google Cloud Client Library for Ruby

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

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

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

An autoML framework & toolkit for machine learning on graphs.

TensorFlow 101: Introduction to Deep Learning