The Open Source Feature Store for AI/ML
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Nov 12, 2026 - Python
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The Open Source Feature Store for AI/ML
python data-science machine-learning big-data ml data-engineering features data-quality mlops feature-store
🐬 Beautiful, performant feature flags for Ruby.
mysql ruby rails api redis http flipper postgres mongo dalli memcached feature-flags feature-toggles features rollout feature feature-toggle feature-flag feature-flagging
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
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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.
data-science machine-learning data-mining deep-learning scikit-learn data-visualization feature-selection feature-extraction data-analysis data-scientists feature-engineering features feature-scaling
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 🌟
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Calculates various features from time series data. Python implementation of the R package tsfeatures.
Yet another calculator designed and developed for Android
android kotlin java calculator app google ui oss math new mathematics kotlin-android calculations software window fdroid features darkmode androidapp yetcalc
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.
deployment feature-flags feature-toggles cloud-native features feature-toggle split-testing feature-service remote-config feature-flag a-b-testing a-b-test feature-flagging feature-flipping feature-toggling-api feature-toggling feature-toggle-service feature-flags-service
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
data-science machine-learning scikit-learn python-library kaggle feature-selection open-data feature-extraction public-data feature-engineering features automl open-datasets data-enrichment kaggle-solution automated-feature-engineering automl-pipeline large-language-models llm chatgpt
Data Science Feature Engineering and Selection Tutorials
python data-science machine-learning tutorial jupyter notebook scikit-learn exploratory-data-analysis tutorials pandas feature-selection xgboost feature-engineering features data-cleaning pandas-profiling sweetviz pyrasgo
Interpretable Causal Diffusion Language Models
attribution concepts models decomposition features diffusion interpretability explanations explainability llms generative-ai
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
Why you should bump your Android app minsdk?
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