Feature Store for Machine Learning
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.
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
Why you should bump your Android app minsdk?
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.
Free automated data enrichment library for machine learning → searches through thousands of ready-to-use features from public and community shared data sources
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Features and tweaks to R that I and others would love to see - feel free to add yours!
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
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