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

A program for financial portfolio management, analysis and optimisation.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

c-ray is a small, simple path tracer written in C

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

Bayesian Data Analysis demos for R

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Applications of Monte Carlo methods to financial engineering projects, in Python.

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

WebGL2.0 3D Engine - Global Illumination - RayTracing

Physically based renderer with Path Tracing and Photon Mapping.

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, or follow the "Releases" link below.

Tensorflow + Molecules = TensorMol

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

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

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

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

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