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
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
An awesome curated list of Cryptoeconomic research and learning materials
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
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.
BirdNET analyzer for scientific audio data processing.
- bioacoustics
- birds
- birdsong
- acoustic-monitoring
Python audio and music signal processing library
Go(lang) examples - (explain the basics of #golang)
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Nx-powered Neural Networks
A selection of state-of-the-art research materials on trajectory prediction
- trajectory-prediction
- trajectory-generation
- social-interactions
- behavior-prediction
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
An offline deep reinforcement learning library
Machine Learning in R
A NSFW (aka porn) detector with CoreML
GoMLX: An Accelerated Machine Learning Framework For Go
:nut_and_bolt: A collection of awesome resources for learning Service Workers
Synthetic data generators for tabular and time-series data
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Hyperparameter Experiments with TensorFlow and Keras
ThunderSVM: A Fast SVM Library on GPUs and CPUs
- classification
- regression
- one-class-learning
- cuda
On-line Machine Learning in Go (and so much more)