feature-engineering

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

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Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

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

Feature engineering and selection open-source Python library compatible with sklearn.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Feathr – A scalable, unified data and AI engineering platform for enterprise

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Unified multimodal backend for AI data apps

Automated Time Series Forecasting

Hopsworks - Data-Intensive AI platform with a Feature Store

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

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.

An intuitive library to extract features from time series.

EvalML is an AutoML library written in python.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Code for Kaggle Data Science Competitions

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale

Absolutely free, convenient and fast daily task planning

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Complete-Life-Cycle-of-a-Data-Science-Project

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning