The Open Source Feature Store for AI/ML

🐬 Beautiful, performant feature flags for Ruby.

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

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

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)

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.

Chrome Status Dashboard

Free TailwindCSS HTML UI Components - built to create landing pages and websites. Easyfrontend UI components are free and open-source. show your support and love, don't forget to give us a star 🌟

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

Yet another calculator designed and developed for Android

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.

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

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

CLI tool for quick size measure of PHP project, used PHP features and more. Zero dependencies. Runs anywhere

Data Science Feature Engineering and Selection Tutorials

PTVO firmware for CC2530, CC2531, and CC2652 Zigbee chips

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

Interpretable Causal Diffusion Language Models

Why you should bump your Android app minsdk?