2074 Open source projects that are alternatives of or similar to Lightautoml

MLBox is a powerful Automated Machine Learning python library.

A Julia machine learning framework

[UNMAINTAINED] Automated machine learning for analytics & production

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

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

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

An open source python library for automated feature engineering

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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Machine Learning in R

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Data transformations for the ML era

A fast and lightweight AutoML library.

A simplified version of featuretools for Spark

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An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

An open-source, low-code machine learning library in Python

Library for Semi-Automated Data Science

mlr3: Machine Learning in R - next generation

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

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

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

IPython widgets, interactive plots, interactive machine learning

An intuitive library to extract features from time series

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

EvalML is an AutoML library written in python.

Artificial Neural Networks for Scala

An open source python library for automated feature engineering based on Genetic Programming

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Open solution to the Toxic Comment Classification Challenge

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

AutoGluon: AutoML for Text, Image, and Tabular Data

Open solution to the Home Credit Default Risk challenge 🏡

Open solution to the Mapping Challenge 🌎

Efficient Learning of Augmentation Policy Schedules

PHP-ML - Machine Learning library for PHP

State-of-the art Automated Machine Learning python library for Tabular Data

R package to interface with OpenML

A curated list of data mining papers about fraud detection.

Code for Kaggle Data Science Competitions

Comparison tools

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Collection of stats, modeling, and data science tools in Python and R.

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

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

An automatic ML model optimization tool.

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Measure and visualize machine learning model performance without the usual boilerplate.

A high-level machine learning and deep learning library for the PHP language.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Automated Data Science and Machine Learning library to optimize workflow.

An R-focused pipeline toolkit for reproducibility and high-performance computing

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.