automated-machine-learning

Open-source projects categorized as automated-machine-learning

Top 17 automated-machine-learning Open-Source Projects

  • nni

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

  • autokeras

    AutoML library for deep learning

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • auto-sklearn

    Automated Machine Learning with scikit-learn

  • autogluon

    AutoGluon: Fast and Accurate ML in 3 Lines of Code

  • featuretools

    An open source python library for automated feature engineering

  • Project mention: Featuretools – A Python Library for Automated Feature Engineering | news.ycombinator.com | 2023-09-20
  • FLAML

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

  • Project mention: AutoGen: Enabling Next-Gen GPT-X Applications | news.ycombinator.com | 2023-08-22

    I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.

    Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.

    Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.

    This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...

  • mljar-supervised

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

  • Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24

    Web App is using two open-source packages that I've created:

    - MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised

    - Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury

    You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • AutoViz

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

  • MLBox

    MLBox is a powerful Automated Machine Learning python library.

  • SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  • FEDOT

    Automated modeling and machine learning framework FEDOT

  • Auto_ViML

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

  • Hyperactive

    An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

  • Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27
  • archai

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

  • sapientml

    Generative AutoML for Tabular Data

  • Project mention: Show HN: SapientML – Generative AutoML for Tabular Data | news.ycombinator.com | 2023-09-28
  • autoalbument

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

  • automl-app

    AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

  • Project mention: FLaNK Stack Weekly 28 August 2023 | dev.to | 2023-08-28
  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
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).

automated-machine-learning related posts

Index

What are some of the best open-source automated-machine-learning projects? This list will help you:

Project Stars
1 nni 13,726
2 autokeras 9,066
3 auto-sklearn 7,403
4 autogluon 7,091
5 featuretools 7,017
6 FLAML 3,671
7 mljar-supervised 2,929
8 AutoViz 1,621
9 MLBox 1,475
10 SMAC3 1,003
11 FEDOT 605
12 Auto_ViML 490
13 Hyperactive 487
14 archai 453
15 sapientml 426
16 autoalbument 195
17 automl-app 133

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com