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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
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
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.
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Official Code for Stable Cascade
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probabilistic reasoning and statistical analysis in TensorFlow
Natural Gradient Boosting for Probabilistic Prediction
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
⬛ 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)
The repository host gives no description.
CNN, Caffe, LaMem,Azure