Sampling Python Packages

point-cloud-utils

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

astartes

Better Data Splits for Machine Learning

smt

Surrogate Modeling Toolbox

zeus-mcmc

⚡️ zeus: Lightning Fast MCMC ⚡️

samplics

Select, weight and analyze complex sample data

compiled-knowledge

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.

lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

prefsampling

A small package providing many algorithms to sample preferences

video-sampler

Effective frame sampling for ML applications.

pocomc

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

spherecluster

Clustering routines for the unit sphere

pykp

Tooling for sampling and solving instances of the 0-1 Knapsack Problem

copulax

JAX-based copula modelling

reporoulette

Random sampling of GitHub repositories using multiple methods

mcp-as-a-judge

MCP as a Judge is a behavioral MCP that strengthens AI coding assistants by requiring explicit LLM evaluations

racecar

An easy-to-use and extendable Python library packaging together novel MCMC sampling algorithms.

datamix

Dataset mixing & curriculum optimizer — profile, blend, schedule, and budget training data. Zero deps.

lhsmdu

This is an implementation of Latin Hypercube Sampling with Multi-Dimensional Uniformity (LHS-MDU) from Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity.

ontosample

OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.

synloc

A Python package to create synthetic data from locally estimated distributions

sandy

Sampling nuclear data and uncertainty

torchsample

Neural network sampling utilities.

bayes-nets-sample

⚡ Python library to compute an input probability query on a given Bayes net on discrete random variables using Prior sampling, Rejection Sampling, Likelihood weighting and Gibbs sampling.