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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

Interpretability and explainability of data and machine learning models

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

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Ruby finite-state-machine-inspired API for modeling workflow

  • ruby
  • dsl
  • aasm
  • state-machine

Build your own robot duck. XGO-Duck is a 3D-printable biped powered by Arduino UNO Q and 15 servos, adapted from Pollen Robotics' Microduck. Includes mechanical models, PCB designs, a BOM, and an assembly guide. Build it, explore its motion, and make it your own.

High-performance data-driven data specification library for Clojure/Script.

  • clojure
  • clojurescript
  • validation
  • modelling

An Eloquent Way To Filter Laravel Models And Their Relationships

  • model-filters
  • eloquent-filters
  • dynamic-filters
  • relation-filter

log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API.

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

  • optimal-control
  • model-predictive-control
  • ilqr
  • ilqg

Deep probabilistic analysis of single-cell and spatial omics data

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

Ruby on Rails model and controller UML class diagram generator. (`brew/port/apt-get install graphviz` before use!)

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

Laravel Scout provides a driver based solution to searching your Eloquent models.

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.

  • agents
  • calibration
  • classification
  • decision-making

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

TranslatedDSH × Blender direct-connect plugin v3.0.6: 15 model tools that let AI drive the GUI Blender (viewport / custom viewpoints / headless worker / job layer / transaction rollback / recipe library), with a contract layer of 34 families / 228 ops; installed via npm + addon zip, GUI first, headless as backup; dsh-TUI selected chip / @ mention / /blender, a modeling skill bundled with the package, supports WSL / Windows / macOS.