First-order probabilistic programming language

Personal projects about probabilistic programming

Artificial Intelligence Engineer Nanodegree: Probabilistic Models

Probabilistic programming with BLOG language

Solutions to BayesMadeSimple written in Gen

Detailed Analysis of Probability and stochastic process with reference "Multiscale approach predictions for biological outcomes in ion-beam cancer therapy"

All the prerequisites of Statistics and Probability to understand better Machine Learning/Deep Learning

A framework for adversarial learning

Marketing Channel Attribution using Markov Model

Various projects and examples for Artificial Intelligence. From Probabilistic Programming to Neural Networks.

CAS CS 237 - Probability in Computing: Introduction to basic probabilistic concepts and methods used in computer science. Develops an understanding of the crucial role played by randomness in computing, both as a powerful tool and as a challenge to confront and analyze. Emphasis on rigorous reasoning, analysis, and algorithmic thinking.

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Ayiti Analytics Probability and Statistics Project

Inference for Statistical Relational Learning

Курсовая. Ядерные оценки Надарая-Ватсона, kNN, зависимость доза-эффект

An effort to port "Bayesian Methods for Hackers" to Julia

Examples and Programs for Probabilistic Symbolic Execution project. This has been built using KLEE, LLVM, Haskell & python3.

Probabilistic programming in Python built on Google Jax