55 Open Source Automated Machine Learning Software Projects
Free and open source automated machine learning code projects including engines, APIs, generators, and tools.
Tpot 8300 ⭐
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Nni 10424 ⭐
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Transmogrifai 2063 ⭐
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
Xcessiv 1259 ⭐
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Autodl 925 ⭐
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Machine.js 412 ⭐
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Autoviz 518 ⭐
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Auto_viml 302 ⭐
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Autofeat 253 ⭐
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Featurelabs Compose 281 ⭐
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Remixautoml 172 ⭐
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
Simon Frontend 99 ⭐
:chart: SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform :computer:
A2ml 33 ⭐
Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML
Autoprognosis 40 ⭐
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
Hyperactive 311 ⭐
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Predict Household Poverty 22 ⭐
Predict the poverty of households in Costa Rica using automated feature engineering.
Covid Ct Code 37 ⭐
Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
Metaod 36 ⭐
Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
Null 40 ⭐
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Mljar Supervised 1607 ⭐
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
Null 129 ⭐
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Null 35 ⭐
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
Null 30 ⭐
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Null 21 ⭐
OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.
Null 18 ⭐
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
Null 16 ⭐
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"