sampling-methods

There are 6 repositories under sampling-methods topic.

crest
wave-harmonic / crest
A class-leading water system implemented in Unity
displacement-texture ocean ocean-geometry sampling-methods unity water
Language:C# 3503
blackjax-devs / blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
bayesian-inference hamiltonian-monte-carlo probabilistic-programming sampling-methods
Language:Python 849
huwb / volsample
Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.
dodecahedron sampling sampling-methods unity volume volume-rendering
Language:C# 631
erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
bayesian-inference structure-learning sampling-methods dag directed-acyclic-graph parameter-learning causal-models causality-analysis causal-networks causal machine-learning python
Language:Jupyter Notebook 480
FunctionLab / selene
a framework for training sequence-level deep learning networks
deep-learning genomic-data-analysis sampling-methods
Language:Jupyter Notebook 373
wiseodd / MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods
Language:Python 367
minaskar / zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
bayesian-inference black-box-bayesian-inference general-purpose inference machine-learning mcmc mcmc-sampler probabilistic-data-analysis python sampling sampling-methods
Language:Python 227
guilgautier / DPPy
Python toolbox for sampling Determinantal Point Processes
determinantal-point-processes determinantal-processes python random-matrix-theory sampling-methods
Language:Python 219
WebSVG / voronoi
Parametric Voronoi generator with real time editing and SVG export
bootstrap client-side css-grid geometric-algorithms sampling-methods static-site svg vanilla-js voronoi svg-filters template-string
Language:JavaScript 183
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 diffusion diffusion-models optimization planning rl sampling-methods trajectory trajectory-optimization zeroth-order-optimization
Language:Jupyter Notebook 177
cmbant / getdist
MCMC sample analysis, kernel densities, plotting, and GUI
contour-plot kernel-density-estimation mcmc plotting-in-python sampling-methods statistical-inference
Language:Python 151
AndyShih12 / paradigms
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
diffusion-models pytorch sampling-methods stable-diffusion
Language:Python 125
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
Language:Python 115
jeremiecoullon / SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
bayesian-inference jax sampling-methods
Language:Python 96
minaskar / pocomc
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
astronomy astrophysics bayesian-inference black-box-bayesian-inference cosmology cosmology-inference general-purpose inference machine-learning mcmc mcmc-sampler normalizing-flows probabilistic-data-analysis python sampling sampling-methods smc
Language:Python 91
PolyChord / PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
astronomy bayesian-inference cosmology gfortran log-likelihood mpi nested-sampling openmpi particle-physics polychord posterior sampling-methods statistics
Language:Fortran 86
NPSN
InhwanBae / NPSN
Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"
human-trajectory-prediction motion-forecasting multi-agent sampling-bias sampling-methods deep-learning cvpr2022 autonomous-vehicles
Language:Python 65
IBM / xgboost-smote-detect-fraud
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!
datascience machine-learning-algorithms machine-learning sampling-methods data-mining data-visualization analytics skewness skew-correction fraud-detection fraud-prevention fraud data-analysis
Language:Jupyter Notebook 64
Jokeren / GPA
GPU Performance Advisor
cuda gpu optimization performance-advisor profiler sampling-methods
Language:Python 63
utk-team / utk
Uni{corn|form} toolkit
computer-graphics monte-carlo-integration sampling-methods unicorn
Language:C++ 59
YashTrikannad / f110_rrt_star
RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car
rrt-star racecar-simulator dynamic-obstacles rrt sampling-methods pathplanning ros melodic kinetic cpp
Language:C++ 59
juliusberner / sde_sampler
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
deep-learning diffusion-models neural-networks pytorch sampling-methods stochastic-differential-equations stochastic-optimal-control
Language:Python 52
probsys / fast-loaded-dice-roller
A near-optimal exact sampler for discrete probability distributions
sampling-methods random-number-generator aistats fast dice-roller
Language:C 52
AdaptiveParticles / LibAPR
Library for producing and processing on the Adaptive Particle Representation (APR).
adaptive biology image-processing microscopy multi-resolution sampling-methods
Language:C++ 48
Andrew-Helmer / pmj-cpp
"Progressive Multi-Jittered Sample Sequences" in C++
c-plus-plus cpp raytracing rendering sampling-methods
Language:Jupyter Notebook 38
ChunyuanLI / pSGLD
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
mcmc preconditioner sampling-methods stochastic-gradient-descent
Language:Matlab 35
alan-turing-institute / PDSampler.jl
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
markov-chain-monte-carlo bayesian-inference sampling-methods graphical-models zig-zag-sampler bouncy-particle-sampler
Language:Julia 33
relf / pyDOE3
Design of experiments for Python
design-of-experiments sampling-methods
Language:Python 28
JuliaDynamics / StreamSampling.jl
Sampling methods for data streams
julia reservoir-sampling sampling sampling-methods sampling-theory statistics stream-sampling streams
Language:Julia 27
sharmaroshan / SECOM-Detecting-Defected-Items
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
sampling-methods outlier-detection machine-learning classification precision-recall-curve anamoly-detection data-visualization feature-extraction
Language:Jupyter Notebook 26
danieleongari / awesome-design-of-experiments
Curated list of resources for the Design of Experiments (DOE)
awesome awesome-list design-of-experiments doe sampling-methods
23
jimmyg1997 / Python-Digital-Signal-Processing-Basics
📶 Python Scripts for the basics of Digital Signal Processing (DSP). Updating on a regular basis.
digital-signal-processing basics time-domain frequency-analysis spectral-analysis sampling-methods interpolation-methods lti systems signals-and-systems filtering filtering-methods
Language:Jupyter Notebook 22
bajes
matteobreschi / bajes
Bayesian Jenaer software
astrophysics bayesian-inference gravitational-waves kilonovae multi-messenger python sampling-methods
Language:Python 22
virgesmith / humanleague
Microsynthesis using quasirandom sampling and/or IPF
r microsynthesis sampling-methods quasirandom nodejs c-plus-plus-11 python3
Language:C++ 17
AdaptiveParticles / pyapr
Content-adaptive storage and processing of large volumetric microscopy data using the Adaptive Particle Representation (APR)
adaptive image-processing microscopy multi-resolution python sampling-methods
Language:Python 16
arntanguy / mesh_sampling
Samplers to obtain pointclouds from CAD meshes
sampling-methods pointcloud mesh
Language:C++ 16

sampling-methods

wave-harmonic / crest

blackjax-devs / blackjax

huwb / volsample

erdogant / bnlearn

FunctionLab / selene

wiseodd / MCMC

minaskar / zeus

guilgautier / DPPy

WebSVG / voronoi

LeCAR-Lab / model-based-diffusion

cmbant / getdist

AndyShih12 / paradigms

LeCAR-Lab / CoVO-MPC

jeremiecoullon / SGMCMCJax

minaskar / pocomc

PolyChord / PolyChordLite

InhwanBae / NPSN

IBM / xgboost-smote-detect-fraud

Jokeren / GPA

utk-team / utk

YashTrikannad / f110_rrt_star

juliusberner / sde_sampler

probsys / fast-loaded-dice-roller

AdaptiveParticles / LibAPR

Andrew-Helmer / pmj-cpp

ChunyuanLI / pSGLD

alan-turing-institute / PDSampler.jl

relf / pyDOE3

JuliaDynamics / StreamSampling.jl

sharmaroshan / SECOM-Detecting-Defected-Items

danieleongari / awesome-design-of-experiments

jimmyg1997 / Python-Digital-Signal-Processing-Basics

matteobreschi / bajes

virgesmith / humanleague

AdaptiveParticles / pyapr

arntanguy / mesh_sampling