Projects in Awesome Lists tagged with sampling-methods
A curated list of projects in awesome lists tagged with sampling-methods .
https://github.com/wave-harmonic/crest
A class-leading water system implemented in Unity
displacement-texture ocean ocean-geometry sampling-methods unity water
Last synced: 13 May 2025
https://github.com/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
Last synced: 21 Oct 2025
https://github.com/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
Last synced: 08 May 2025
https://github.com/erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning
Last synced: 14 May 2025
https://github.com/FunctionLab/selene
a framework for training sequence-level deep learning networks
deep-learning genomic-data-analysis sampling-methods
Last synced: 19 Apr 2025
https://github.com/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
Last synced: 07 Apr 2025
https://github.com/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
Last synced: 01 May 2025
https://github.com/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
Last synced: 04 Apr 2025
https://github.com/websvg/voronoi
Parametric Voronoi generator with real time editing and SVG export
bootstrap client-side css-grid geometric-algorithms sampling-methods static-site svg svg-filters template-string vanilla-js voronoi
Last synced: 09 Apr 2025
https://github.com/WebSVG/voronoi
Parametric Voronoi generator with real time editing and SVG export
bootstrap client-side css-grid geometric-algorithms sampling-methods static-site svg svg-filters template-string vanilla-js voronoi
Last synced: 09 Apr 2025
https://github.com/cmbant/getdist
MCMC sample analysis, kernel densities, plotting, and GUI
contour-plot kernel-density-estimation mcmc plotting-in-python sampling-methods statistical-inference
Last synced: 15 May 2025
https://github.com/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
Last synced: 04 Apr 2025
https://github.com/jeremiecoullon/SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
bayesian-inference jax sampling-methods
Last synced: 04 May 2025
https://github.com/chunyuanli/psgld
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
mcmc preconditioner sampling-methods stochastic-gradient-descent
Last synced: 22 Mar 2025
https://github.com/juliadynamics/streamsampling.jl
Sampling methods for data streams
julia reservoir-sampling sampling sampling-methods sampling-theory statistics stream-sampling streams
Last synced: 11 Dec 2025
https://github.com/matteobreschi/bajes
Bayesian Jenaer software
astrophysics bayesian-inference gravitational-waves kilonovae multi-messenger python sampling-methods
Last synced: 30 Dec 2025
https://github.com/outbrain-inc/outrank
A Python library for efficient feature ranking and selection on sparse data sets.
algorithms cardinality-estimation counting data-mining data-monitoring data-stream-mining feature-engineering feature-ranking feature-selection machine-learning multithreaded numba-jit-compiler online-feature-building online-learning-algorithms probabilistic-programming python-library sampling-methods scalable-machine-learning statistics
Last synced: 12 Aug 2025
https://github.com/shreyansh26/llm-sampling
A collection of various LLM sampling methods implemented in pure Pytorch
llm llm-inference sampling-methods torch transformers
Last synced: 12 Apr 2025
https://github.com/virgesmith/humanleague
Microsynthesis using quasirandom sampling and/or IPF
c-plus-plus-11 microsynthesis nodejs python3 quasirandom r sampling-methods
Last synced: 25 Oct 2025
https://github.com/arntanguy/mesh_sampling
Samplers to obtain pointclouds from CAD meshes
mesh pointcloud sampling-methods
Last synced: 09 Oct 2025
https://github.com/networks-learning/counterfactual-llms
Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
counterfactuals llama3 llama3-8b llm mistral mistral-small sampling-methods token-generation
Last synced: 14 Apr 2025
https://github.com/chunyuanli/ras
AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
adversarial-learning amortized-inference entropy-regularizer reinforcement-learning sampling-methods
Last synced: 15 Apr 2025
https://github.com/IdahoLabResearch/BIhNNs
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
bayesian-inference hamiltonian-monte-carlo langevin-dynamics neural-networks no-u-turn-sampler physics-informed-neural-networks sampling-methods
Last synced: 27 Mar 2025
https://github.com/tortar/dynamicsampling.jl
Sampling methods for dynamic discrete distributions
julia sampler sampling sampling-methods statistics
Last synced: 13 Apr 2025
https://github.com/relf/pydoe3
Design of experiments for Python
design-of-experiments sampling-methods
Last synced: 22 Mar 2025
https://github.com/kgourgou/adaptive-importance-sampling-bn
Experimental code: adaptive importance sampling for bayesian networks.
adaptive bayesian-inference bayesian-network importance-sampling sampling-methods
Last synced: 24 Apr 2025
https://github.com/technologicat/sudoku_lhs
Latin hypercube sampler with sudoku constraint
latin-hypercube numerical numpy python python2 python27 python3 python34 sampling-methods sudoku
Last synced: 30 Apr 2025
https://github.com/soran-ghaderi/torchebm
⚡ Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.
contrastive-divergence cuda diffusion-models energy-based-model generative-ai langevin-dynamics noise-contrastive-estimation probabilistic-machine-learning reasoning sampling-methods score-matching variational-inference
Last synced: 23 Apr 2025
https://github.com/sandialabs/deterministicmps
Maximal Poisson-disk Sampling in 2D, without approximations or rejections, in deterministic linear time
poisson-disc-sampling poisson-disk-sampling sample-generation sampling sampling-methods scr-2749 snl-comp-science-libs snl-other snl-science-libs spatial-statistics
Last synced: 02 May 2025
https://github.com/mhw32/antithetic-vae-public
PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).
aistats sampling-methods variance-reduction variational-autoencoder variational-inference
Last synced: 14 Apr 2025
https://github.com/krisharul26/defect-detection-in-air-pressure-system-aps-of-a-truck-using-ml
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
confusion-matrix f1-score gridsearchcv hyperparameter-optimization knn-classification roc sampling-methods svm-classifier
Last synced: 13 Nov 2025
https://github.com/abhiramdodda/skindiseasedetection
Skin diseases can be detected and classified through Deep Learning techniques. In this project Deep CNN network is built on top of EfficientNetB3 for image classification.
cnn efficientnetb3 image-classification image-processing keras matplotlib python3 sampling-methods tensorflow
Last synced: 18 Jun 2025
https://github.com/soulyma/ai-early_detection_of_cyberattacks
AI-Early_Detection_Of_CyberAttacks_Using_MachineLearning
augmentation cybersecurity machine-learning ml python sampling-methods
Last synced: 07 Apr 2025
https://github.com/scifer99/simple-stratified-random-sampling-with-python-for-machine-learning
This is a Jupyter Notebook developing Simple & Stratified Random Sampling with Python for Machine Learning
artificial-intelligence machine-learning python3 sampling-methods statistical-analysis
Last synced: 25 Feb 2025
https://github.com/ac12644/fraud-detection-ai
Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions🚀
analytics data-mining data-science data-visualisation fraud-detection fraud-prevention machine-learning machine-learning-algorithms sampling-methods skewed-data
Last synced: 20 Aug 2025
https://github.com/shreyansh26/solving-substitution-ciphers-using-mcmc
Solving substitution ciphers using Markov Chain Monte Carlo (MCMC)
cryptography mcmc probability sampling-methods substitution-cipher
Last synced: 03 Mar 2025
https://github.com/savinrazvan/pagerank
This project implements the PageRank algorithm to rank web pages by importance using two approaches: a sampling method with the Markov Chain random surfer model and an iterative method with a recursive mathematical expression.
alogrithm convergence data-science graph-theory iterative-methods markov-chain mathematical-modelling pagerank pagerank-algorithm python random-surfer-model recursive-algorithm sampling-methods search-engine simulation web-crawling
Last synced: 27 Feb 2025
https://github.com/saravanabalagi/sampling_utils
Python tools to sample randomly with dont pick closest n elements constraints. Also contains a batch generator for the same to sample with replacement and with repeats if necessary.
conditional-sampling constrained-sampling dont-pick-closest sampling sampling-methods sampling-with-constraints
Last synced: 03 Jul 2025
https://github.com/inbo/grtsdb
Spatially balanced sampling based on the General Randomized Tessellation Stratified (GRTS) using R and SQLite
grts r r-package r-stats sampling sampling-methods sqlite
Last synced: 16 Oct 2025
https://github.com/techshot25/random-number-generators
How to generate pseudo random numbers
pseudo-random-generator random-distributions random-number-generators sampling-methods
Last synced: 02 Aug 2025
https://github.com/dataobservatory-eu/streaming-sampling-algorithm
Sampling music streaming data
music music-streaming sampling-methods
Last synced: 30 Mar 2025
https://github.com/sebastian-huynh/rs-probability-calculator
User-defined python package that returns the probability of a particular color being randomly drawn without replacement.
calculator-python object-oriented-programming python python-3 python3 sampling-methods
Last synced: 12 Nov 2025
https://github.com/elkronos/sample_py
Sampling functions in python.
data-science methodology python sampling-methods statistics
Last synced: 17 Mar 2025
https://github.com/koenderks/shinynetworks
This Shiny R application serves the purpose of visualizing and comparing various free-scale and random growing graphs. Application made as part of the TquanT 2018 seminar on quantitative thinking.
networks sampling-methods visualization
Last synced: 16 Jun 2025
https://github.com/jamnicki/bachelor_thesis_project
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
active-learning active-learning-in-nlp annotation-tool argilla kpwr named-entity-recognition nlp optimization sampling-methods sequence-labeling sequential-data spacy
Last synced: 07 Apr 2025
