An advanced ocean system implemented in Unity
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Updated
Mar 20, 2023 - C#
An advanced ocean system implemented in Unity
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.
BlackJAX is a sampling library designed for ease of use, speed and modularity.
a framework for training sequence-level deep learning networks
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Python toolbox for sampling Determinantal Point Processes
Parametric Voronoi generator with real time editing and SVG export
MCMC sample analysis, kernel densities, plotting, and GUI
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Uni{corn|form} toolkit
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Library for producing and processing on the Adaptive Particle Representation (APR).
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
GPU Performance Advisor
RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car
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