Python Automl

Open-source Python projects categorized as Automl

Top 23 Python Automl Projects

  • Ray

    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

    Project mention: TransformerXL + PPO Baseline + MemoryGym | reddit.com/r/reinforcementlearning | 2023-02-15

    RLlib

  • MindsDB

    MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way.

    Project mention: Eva AI-Relational Database System | news.ycombinator.com | 2023-05-12
  • ONLYOFFICE

    ONLYOFFICE Docs — document collaboration in your environment. Powerful document editing and collaboration in your app or environment. Ultimate security, API and 30+ ready connectors, SaaS or on-premises

  • best-of-ml-python

    🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

    Project mention: Ask HN: How to get back into AI? | news.ycombinator.com | 2022-12-10

    For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...

  • 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: Filter Pruning for PyTorch | reddit.com/r/deeplearning | 2023-04-13
  • autokeras

    AutoML library for deep learning

  • auto-sklearn

    Automated Machine Learning with scikit-learn

  • featuretools

    An open source python library for automated feature engineering

    Project mention: featuretools - perform automated feature engineering. | reddit.com/r/engineering_stuff | 2023-04-29

    featuretools

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • autogluon

    AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

    Project mention: pip install remyxai - easiest way to create custom vision models | reddit.com/r/computervision | 2023-04-25

    This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)

  • igel

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

  • Merlion

    Merlion: A Machine Learning Framework for Time Series Intelligence

    Project mention: [podcast] Machine Learning for Time Series Intelligence | reddit.com/r/GradientFlow | 2022-08-25

    Aadyot Bhatnagar, is a Senior Research Engineer at Salesforce, and co-creator of Merlion an open source framework for applying machine learning on time series data.

  • zenml

    ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

    Project mention: What are some open-source ML pipeline managers that are easy to use? | reddit.com/r/mlops | 2023-05-03
  • keras-tuner

    A Hyperparameter Tuning Library for Keras

    Project mention: Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ? | reddit.com/r/learnmachinelearning | 2022-10-13
  • mljar-supervised

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

    Project mention: [P] Build data web apps in Jupyter Notebook with Python only | reddit.com/r/MachineLearning | 2023-02-15

    Sure, at the bottom of our website you can subscribe for newsletter.

  • lazypredict

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

    Project mention: [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history | reddit.com/r/MachineLearning | 2023-01-10
  • sparseml

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

    Project mention: Can You Achieve GPU Performance When Running CNNs on a CPU? | reddit.com/r/computervision | 2023-04-08
  • AutoDL-Projects

    Automated deep learning algorithms implemented in PyTorch.

  • MLBox

    MLBox is a powerful Automated Machine Learning python library.

  • 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: I need help lol | reddit.com/r/AskStatistics | 2023-03-07

    AutoViz: A Python library that automatically visualizes any dataset in just one line of code.

  • PySR

    High-Performance Symbolic Regression in Python and Julia

    Project mention: [D] Is there any research into using neural networks to discover classical algorithms? | reddit.com/r/MachineLearning | 2023-01-01

    I first learned about it with PySR https://github.com/MilesCranmer/PySR, they have an arxiv paper with some use cases as well.

  • tods

    TODS: An Automated Time-series Outlier Detection System

    Project mention: Anomaly detection Algorithms | reddit.com/r/learnmachinelearning | 2023-03-07

    Sounds that OP is looking for time series anomaly detection, not multivariate. Perhaps https://github.com/datamllab/tods is an option,

  • SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

    Project mention: [D]How to optimize an ANN? | reddit.com/r/MachineLearning | 2022-08-12

    You can use Optuna, SMAC or hyperopt

  • luminaire

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

    Project mention: luminaire: NEW Data - star count:692.0 | reddit.com/r/algoprojects | 2023-03-25
  • evalml

    EvalML is an AutoML library written in python.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

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 2023-05-12.

Python Automl related posts

Index

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

Project Stars
1 Ray 25,744
2 MindsDB 16,266
3 best-of-ml-python 13,672
4 nni 12,917
5 autokeras 8,839
6 auto-sklearn 6,958
7 featuretools 6,647
8 autogluon 5,771
9 igel 3,047
10 Merlion 2,981
11 zenml 2,878
12 keras-tuner 2,719
13 mljar-supervised 2,617
14 lazypredict 2,020
15 sparseml 1,652
16 AutoDL-Projects 1,487
17 MLBox 1,424
18 AutoViz 1,326
19 PySR 1,254
20 tods 979
21 SMAC3 843
22 luminaire 696
23 evalml 610
Write Clean Python Code. Always.
Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
www.sonarsource.com