Python Automl

Open-source Python projects categorized as Automl | Edit details

Top 23 Python Automl Projects

  • GitHub repo Ray

    An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

    Project mention: JORLDY: OpenSource Reinforcement Learning Framework | | 2021-11-08

    Distributed RL algorithms are provided using ray

  • GitHub repo nni

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

    Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | | 2021-10-04

    For a complete tutorial, navigate to this Jupyter Notebook:

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo autokeras

    AutoML library for deep learning

    Project mention: Ask HN: Which piece of tech is underutilized? | | 2021-11-06

    I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what is for neural nets.

  • GitHub repo auto-sklearn

    Automated Machine Learning with scikit-learn

    Project mention: Why not AutoML every tabular data? | | 2021-07-26

    Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.

  • GitHub repo MindsDB

    Predictive AI layer for existing databases.

    Project mention: Release0.3 Using PyParing lib in mindsdb | | 2021-11-29

    MindsDB is a predictive platform that makes databases intelligent and machine learning easy to use. It allows data analysts to build and visualize forecasts in BI dashboards without going through the complexity of ML pipelines, all through SQL. It also helps data scientists to streamline MLOps by providing advanced instruments for in-database machine learning and optimize ML workflows through a declarative JSON-AI syntax. I did 3 issues of this project, 1773 and 1771 have merged, and 1777 is reviewing.

  • GitHub repo autogluon

    AutoGluon: AutoML for Text, Image, and Tabular Data

    Project mention: What will the data science job market be like in 5 years? | | 2021-08-14

    Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.

  • GitHub repo igel

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

    Project mention: Train/fit, test, and use models without writing code | | 2021-06-29

    Link to the repo:

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

  • GitHub repo mljar-supervised

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

    Project mention: I'm Looking to Help Contribute, I am very confident with my skills | | 2021-12-02

    Automated Machine Learning (AutoML) Python package You can check list of open issues. Or I can recommend some just tell me your preferences (Im the main contributor)

  • GitHub repo AutoDL-Projects

    Automated deep learning algorithms implemented in PyTorch.

    Project mention: Forward pass computation for GDAS NAS coding | | 2021-06-06

  • GitHub repo Hypernets

    A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

    Project mention: [N][R] A Brief Tutorial for Developing AutoML Tools with Hypernets | | 2021-06-28

    Please see here for the Hypernets library.

  • GitHub repo DeepCamera

    AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.

    Project mention: Private Home Security and AI | | 2021-01-30

    Shinobi + DeepCamera?

  • GitHub repo LightAutoML

    LAMA - automatic model creation framework

    Project mention: Github Discussion: What is your favorite Data Science Repo? | | 2021-07-24
  • GitHub repo AutoViz

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

    Project mention: AutoViz: Automatically visualize any dataset, any size with one line of code | | 2021-02-09
  • GitHub repo tods

    TODS: An Automated Time-series Outlier Detection System (by datamllab)

    Project mention: [P] [R] Luminaire: A hands-off Anomaly Detection Library | | 2021-03-07


  • GitHub repo luminaire

    Luminaire is a python package that provides ML driven solutions for monitoring time series data.

    Project mention: [P][R] Luminaire: A hands-off Anomaly Detection Library | | 2021-03-25

    Github project link:

  • GitHub repo PySR

    Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

    Project mention: [D] Inferring general physical laws from observations in 300 lines of code | | 2021-08-02

    This is really neat! Since you're interested in this subject, you may also appreciate PySR and the corresponding paper which uses Graph Neural Networks to perform symbolic regression.

  • GitHub repo evalml

    EvalML is an AutoML library written in python.

    Project mention: EvalML: An AutoML library written in Python | | 2021-04-03
  • GitHub repo tune-sklearn

    A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

    Project mention: LightGBM vs. XGBoost: Which distributed version is faster? | | 2021-08-10

    Of course not! :)

    The Ray ecosystem is actually chalk full of integrations, from XGBoost Ray (, to PyTorch on Ray (, and of course hyperparameter search with Ray Tune for a variety of libraries, including Sklearn (

  • GitHub repo Auto_ViML

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

    Project mention: AutoNLP for Automating Twitter Sentiment Analysis | | 2021-01-02

    To install this we can use a simple pip command. Since AutoNLP belongs to autoviml we need to install that.

  • GitHub repo FEDOT

    Automated modeling and machine learning framework FEDOT

    Project mention: [P] FEDOT - AutoML framework for composite pipelines | | 2021-07-10

    Hi! I want to discuss the academic project FEDOT ( that is devoted to the evolutionary AutoML for composite pipelines. I am one of the developers of this framework and hope to obtain some feedback on this solution and share our experience.

  • GitHub repo automlbenchmark

    OpenML AutoML Benchmarking Framework

    Project mention: Show HN: AutoAI | | 2021-11-12

    Your list excludes most of well-known open-source AutoML tools such as auto-sklearn, AutoGluon, LightAutoML, MLJarSupervised, etc. These tools have been very extensively benchmarked by the OpenML AutoML Benchmark ( and have papers published, so they are pretty well-known to the AutoML community.

    Regarding Frankly, you don't seem to understand's AutoML offerings.

    I'm the creator of H2O AutoML, which is open source, and there's no "enterprise version" of H2O AutoML. The interface is simple -- all you need to specify is the training data and target. We have included DNNs in our set of models since the first release of the tool in 2017. Read more here: We also offer full explainability for our models: develops another AutoML tool called Driverless AI, which is proprietary. You might be conflating the two. Neither of these tools need to be used on the H2O AI Cloud. Both tools pre-date our cloud by many years and can be used on a user's own laptop/server very easily.

    Your Features & Roadmap list in the README indicates that your tool does not yet offer DNNs, so either you should update your post here or update your README if it's incorrect:

    Lastly, I thought I would mention that there's already an AutoML tool called "AutoAI" by IBM. Generally, it's not a good idea to have name collisions in a small space like the AutoML community.

  • GitHub repo autovideo

    AutoVideo: An Automated Video Action Recognition System

    Project mention: AutoVideo: An Automated Video Action Recognition System | | 2021-08-12

    Code for found:

  • GitHub repo sgas

    SGAS: Sequential Greedy Architecture Search (CVPR'2020)

    Project mention: Graph Convolutional Networks in Videos and 3D Point Clouds - Dr. Ali Thabet - Link to free zoom lecture by the author in comments | | 2021-05-01
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-12-02.

Python Automl related posts


What are some of the best open-source Automl projects in Python? This list will help you:

Project Stars
1 Ray 18,352
2 nni 10,630
3 autokeras 8,264
4 auto-sklearn 5,896
5 MindsDB 4,146
6 autogluon 3,857
7 igel 2,952
8 mljar-supervised 1,694
9 AutoDL-Projects 1,309
10 Hypernets 1,031
11 DeepCamera 834
12 LightAutoML 642
13 AutoViz 556
14 tods 496
15 luminaire 491
16 PySR 450
17 evalml 432
18 tune-sklearn 324
19 Auto_ViML 310
20 FEDOT 262
21 automlbenchmark 249
22 autovideo 234
23 sgas 149
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