A class-leading water system implemented in Unity
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Apr 16, 2025 - C#
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sampling-methods
Here are 249 public repositories matching this topic...
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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Apr 27, 2025 - Python
Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.
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Mar 20, 2021 - C#
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
python machine-learning bayesian-inference dag causality-analysis structure-learning causal causal-models sampling-methods directed-acyclic-graph causal-networks parameter-learning
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May 21, 2025 - Jupyter Notebook
a framework for training sequence-level deep learning networks
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Dec 16, 2024 - Jupyter Notebook
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
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Dec 20, 2017 - Python
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
control optimization planning rl trajectory-optimization diffusion trajectory sampling-methods diffusion-models zeroth-order-optimization
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Mar 27, 2025 - Python
⚡️ zeus: Lightning Fast MCMC ⚡️
python machine-learning inference sampling bayesian-inference general-purpose mcmc mcmc-sampler sampling-methods probabilistic-data-analysis black-box-bayesian-inference
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Feb 18, 2024 - Python
Python toolbox for sampling Determinantal Point Processes
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Aug 14, 2024 - Python
Parametric Voronoi generator with real time editing and SVG export
svg bootstrap vanilla-js static-site svg-filters css-grid client-side voronoi template-string geometric-algorithms sampling-methods
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Jul 20, 2024 - JavaScript
MCMC sample analysis, kernel densities, plotting, and GUI
statistical-inference mcmc kernel-density-estimation sampling-methods contour-plot plotting-in-python
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May 14, 2025 - Python
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
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Oct 13, 2023 - Python
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
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May 22, 2024 - Python
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
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Oct 23, 2023 - Python
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
python machine-learning astronomy inference cosmology astrophysics sampling bayesian-inference smc general-purpose mcmc mcmc-sampler normalizing-flows sampling-methods probabilistic-data-analysis black-box-bayesian-inference cosmology-inference
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Feb 6, 2025 - Python
Public version of PolyChord: See polychord.co.uk for PolyChordPro
statistics astronomy mpi gfortran cosmology bayesian-inference particle-physics openmpi nested-sampling posterior log-likelihood sampling-methods polychord
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Mar 18, 2025 - Fortran
[ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".
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Feb 19, 2025 - Python
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
deep-learning multi-agent autonomous-vehicles sampling-methods sampling-bias human-trajectory-prediction motion-forecasting cvpr2022
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Apr 13, 2025 - Python
GPU Performance Advisor
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Jul 25, 2022 - Python
RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car
cpp rrt ros rrt-star kinetic sampling-methods dynamic-obstacles melodic pathplanning racecar-simulator
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Nov 14, 2019 - C++
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