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A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.

  • threat-modeling
  • practical-devsecops
  • security-review
  • devsecops-university

Clean PyTorch implementations of imitation and reward learning algorithms

  • reward-learning
  • inverse-reinforcement-learning
  • imitation-learning
  • gymnasium

Interpretability and explainability of data and machine learning models

  • explainable-ai
  • explainable-ml
  • trusted-ai
  • trusted-ml

open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.

Deep probabilistic analysis of single-cell and spatial omics data

  • scrna-seq
  • variational-bayes
  • variational-autoencoder
  • cite-seq

A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave