A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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A game theoretic approach to explain the output of any machine learning model.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
F# for Jupyter Notebooks
scikit-learn wrappers for Python fastText.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo