Movatterモバイル変換

Skip to content

#

sampling-methods

Here are 264 public repositories matching this topic...

Language:All

Filter by language

All264 Python88 Jupyter Notebook85 R19 C++15 MATLAB11 TeX7 Java6 HTML4 Julia4 C#3

Sort:Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

crest

wave-harmonic /crest

A class-leading water system implemented in Unity

unity ocean water sampling-methods ocean-geometry displacement-texture

UpdatedOct 21, 2025
C#

blackjax-devs /blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

probabilistic-programming bayesian-inference hamiltonian-monte-carlo sampling-methods

UpdatedDec 5, 2025
Python

huwb /volsample

Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.

unity sampling volume volume-rendering sampling-methods dodecahedron

UpdatedMar 20, 2021
C#

erdogant /bnlearn

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

UpdatedDec 8, 2025
Jupyter Notebook

FunctionLab /selene

a framework for training sequence-level deep learning networks

deep-learning genomic-data-analysis sampling-methods

UpdatedDec 16, 2024
Jupyter Notebook

wiseodd /MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

machine-learning bayesian-inference mcmc markov-chain-monte-carlo sampling-methods

UpdatedDec 20, 2017
Python

LeCAR-Lab /model-based-diffusion

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

UpdatedMar 27, 2025
Python

minaskar /zeus

⚡️ 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

UpdatedFeb 18, 2024
Python

guilgautier /DPPy

Python toolbox for sampling Determinantal Point Processes

python sampling-methods random-matrix-theory determinantal-processes determinantal-point-processes

UpdatedAug 14, 2024
Python

WebSVG /voronoi

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

UpdatedJul 20, 2024
JavaScript

cmbant /getdist

MCMC sample analysis, kernel densities, plotting, and GUI

statistical-inference mcmc kernel-density-estimation sampling-methods contour-plot plotting-in-python

UpdatedDec 17, 2025
Python

AndyShih12 /paradigms

PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight

pytorch sampling-methods diffusion-models stable-diffusion

UpdatedOct 13, 2023
Python

LeCAR-Lab /CoVO-MPC

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.

control drone mpc quadrotor sampling-methods zeroth-order-optimization

UpdatedMay 22, 2024
Python

minaskar /pocomc

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

UpdatedSep 11, 2025
Python

jeremiecoullon /SGMCMCJax

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

bayesian-inference sampling-methods jax

UpdatedOct 23, 2023
Python

xie-lab-ml /Zigzag-Diffusion-Sampling

[ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".

sampling-methods diffusion-models aigc

UpdatedFeb 19, 2025
Python

PolyChord /PolyChordLite

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

UpdatedDec 8, 2025
Fortran

NPSN

InhwanBae /NPSN

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

UpdatedJul 16, 2025
Python

juliusberner /sde_sampler

Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

deep-learning pytorch neural-networks stochastic-differential-equations sampling-methods stochastic-optimal-control diffusion-models

UpdatedMar 14, 2025
Python

YashTrikannad /f110_rrt_star

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

UpdatedNov 14, 2019
C++

Improve this page

Add a description, image, and links to thesampling-methods topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with thesampling-methods topic, visit your repo's landing page and select "manage topics."

[8]ページ先頭

©2009-2025 Movatter.jp