features

Feature Store for Machine Learning

A comprehensive list of new ES features, including ES2015 (ES6), ES2016, ES2017, ES2018, ES2019

🐬 Beautiful, performant feature flags for Ruby.

Showcase your awesome new app features 📱

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

Feathr – An Enterprise-Grade, High Performance Feature Store

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Chrome Status Dashboard

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.

📦📝 uFeatures guidelines

Command line C++ and Python VSTi Host library with MFCC, FFT, RMS and audio extraction and .wav writing.

An open standard for querying geospatial information on the web.

Why you should bump your Android app minsdk?

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Data Science Feature Engineering and Selection Tutorials

FeatureHub - cloud native feature flags, A/B testing and remote configuration service. Real-time streaming feature updates. Provided with Java, JavaScript, Python, Go, .Net, Ruby, Android and Flutter SDKs.

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Free automated data enrichment library for machine learning → searches through thousands of ready-to-use features from public and community shared data sources

Features and tweaks to R that I and others would love to see - feel free to add yours!

Depricated repo. Please refer to mlfinlab