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The Open Source Feature Store for AI/ML
🐬 Beautiful, performant feature flags for Ruby.
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.
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.
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
Yet another calculator designed and developed for Android
Data Science Feature Engineering and Selection Tutorials
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
Features and tweaks to R that I and others would love to see - feel free to add yours!
