Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Bayesian Data Analysis demos for R

A curated list of Monte Carlo tree search papers with implementations.

C-Ray is a small, simple path tracer written in C

Tensorflow + Molecules = TensorMol

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

A program for financial portfolio management, analysis and optimisation.

Distributed Monte Carlo Path Tracer 分布蒙特卡洛路径追踪器

Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

WebGL2.0 3D Engine & ECS & RayTracing

Public-domain Python library for quiz scheduling using Bayesian statistics. (Also available as JavaScript and Java ports!)

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Universal extensible molecular simulation engine

Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.

A program with an implemented Monte Carlo Ray Tracer algorithm for global illumination of a virtual 3D scene.

A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data

Experimental Physically Based Renderer

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Adaptive computational fluid dynamics

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

physics meets neural networks

Classical and quantum Monte Carlo simulations in Julia

Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

This Mersenne Twister is a fast pseudo-random number generator (PRNG) in C++

AI research environment for the game of Snake 🐍 .

An instructive one-file Ruby path tracer

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮