An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Updated
Aug 3, 2023 - Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open source python library for automated feature engineering
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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 low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Feathr – A scalable, unified data and AI engineering platform for enterprise
[UNMAINTAINED] Automated machine learning for analytics & production
Feature engineering package with sklearn like functionality
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Hopsworks - Data-Intensive AI platform with a Feature Store
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;2024年继续增补,并大修大改两轮。纠错多的同学,有赠书感谢!
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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