154 Open source projects that are alternatives of or similar to Automl

Distribution transparent Machine Learning experiments on Apache Spark

A simplified version of featuretools for Spark

Google Cloud Platform Machine Learning Samples

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Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

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

Automatic machine learning for tabular data. ⚡🔥⚡

Merlion: A Machine Learning Framework for Time Series Intelligence

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AutoVideo: An Automated Video Action Recognition System

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

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Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

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

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TODS: An Automated Time-series Outlier Detection System

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

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

Python automated machine learning framework.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Optuna + LightGBM = OptGBM

Machine Learning in one line of code

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

A curated list of automated machine learning papers, articles, tutorials, slides and projects

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Automated machine learning (AutoML) with grammar-based genetic programming

Python Meta-Feature Extractor package.

PyTorch implementation of PNASNet-5 on ImageNet

基于Tensorflow2开发的优秀扩展包及项目

This is an simple example of tagging bank transactions with ML.NET

This repo is about NAS

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

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

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

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

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

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

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

An automatic machine learning system

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Automated Time Series Forecasting

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[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Automated machine learning package

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

A full pipeline AutoML tool for tabular data

A framework for large scale recommendation algorithms.

Differentiable architecture search for convolutional and recurrent networks

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Automated modeling and machine learning framework FEDOT

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