56 Open source projects that are alternatives of or similar to automl

Source for documentation site

Using Java with kdb+

vscode kdb+/q extension

Source of code.kx.com/q

kdb+ to Apache Kafka adapter, for pub/sub

Source Code for "Q for Quants"

Nim Kdb type-safe bindings

Latest source files for kdb+tick

Jupyter kernel for kdb+

Machine-learning toolkit

Machine Learning for kdb+/q

R client for kdb+

Emacs mode for editing q scripts and communicating with inferior q/qcon buffers

Simple library for websockets in kdb+/q

q - Run SQL directly on CSV or TSV files

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

A fast and lightweight AutoML library.

LAMA - automatic model creation framework

Library for Semi-Automated Data Science

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

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

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 specially designed light version of Fast AutoAugment

An automatic ML model optimization tool.

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

[UNMAINTAINED] Automated machine learning for analytics & production

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

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

MLBox is a powerful Automated Machine Learning python library.

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

AutoML library for deep learning

collecting related resources of automated machine learning here

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

An open source python library for automated feature engineering

Automated Machine Learning with scikit-learn

Sequential Model-based Algorithm Configuration

Efficient Learning of Augmentation Policy Schedules

a distributed Hyperband implementation on Steroids

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

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

AutoGluon: AutoML for Text, Image, and Tabular Data

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

Automated modeling and machine learning framework FEDOT

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Free automated deep learning for spreadsheets

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Automated deep learning!

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Machine Learning for everybody.

A simplified version of featuretools for Spark

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

Automated NLP sentiment predictions- batteries included, or use your own data