There are 22 repositories under monte-carlo topic.
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
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
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Applications of Monte Carlo methods to financial engineering projects, in Python.
Physically based renderer with Path Tracing and Photon Mapping.
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.
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.
A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Financial Derivatives Calculator with 168+ Models (Options Calculator)
Classical and quantum Monte Carlo simulations in Julia
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
A program with an implemented Monte Carlo Ray Tracer algorithm for global illumination of a virtual 3D scene.
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.