A program for financial portfolio management, analysis and optimisation.

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

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

📦 Python library for Stochastic Processes Simulation and Visualisation

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

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

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

Tensorflow + Molecules = TensorMol

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

The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty

Leetcode solutions

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

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

An open source Python framework for transition interface and path sampling calculations.

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Use Python like a spreadsheet!