This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
StableLM: Stability AI Language Models
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Natural Gradient Boosting for Probabilistic Prediction
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
⬛ Python Individual Conditional Expectation Plot Toolbox
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
CNN, Caffe, LaMem,Azure