A class-leading water system implemented in Unity
-
Updated
Jun 18, 2026 - C#
#
sampling-methods
Here are 281 public repositories matching this topic...
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
-
Updated
Oct 5, 2026 - Python
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
-
Updated
Dec 20, 2017 - Python
a framework for training sequence-level deep learning networks
-
Updated
Dec 16, 2024 - Jupyter Notebook
Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.
-
Updated
Mar 20, 2021 - C#
MCMC sample analysis, kernel densities, plotting, and GUI
statistical-inference mcmc kernel-density-estimation sampling-methods contour-plot plotting-in-python
-
Updated
Aug 5, 2026 - Python
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
-
Updated
Sep 24, 2026 - Jupyter Notebook
Python toolbox for sampling Determinantal Point Processes
-
Updated
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
-
Updated
Jul 20, 2024 - JavaScript
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!
machine-learning data-mining analytics machine-learning-algorithms data-visualization datascience data-analysis fraud-prevention fraud-detection fraud sampling-methods skewness skew-correction
-
Updated
Sep 3, 2020 - Jupyter Notebook
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
-
Updated
Feb 26, 2026 - Fortran
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
-
Updated
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
-
Updated
Feb 18, 2024 - Python
🍓 Simulation-free, GPU-first generative modeling in PyTorch ⚡ Composable primitives for scalable, stable training of modern EBMs, diffusion, flow matching, and Schrödinger bridges.
deep-learning gpu cuda pytorch hamiltonian-monte-carlo optimal-transport sampling-methods langevin-dynamics generative-models contrastive-divergence diffusion-models mcmc-sampling probabilistic-machine-learning score-matching energy-based-models flow-matching schrodinger-bridge equilibrium-matching simulation-free
-
Updated
Sep 29, 2026 - Python
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.
machine-learning data-visualization feature-extraction classification outlier-detection sampling-methods precision-recall-curve anamoly-detection
-
Updated
May 20, 2019 - Jupyter Notebook
Library for producing and processing on the Adaptive Particle Representation (APR).
-
Updated
Jan 20, 2026 - C++
Bayesian Jenaer software
python astrophysics bayesian-inference gravitational-waves multi-messenger sampling-methods kilonovae
-
Updated
May 5, 2026 - Python
This repository provides code for SVD and Importance sampling-based algorithms for large scale topic modeling.
linear-algebra topic-modeling unsupervised-learning svd sampling-methods spectral-clustering randomized-algorithm
-
Updated
Dec 14, 2020 - C++
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight
-
Updated
Oct 13, 2023 - Python
Add this topic to your repo
To associate your repository with the sampling-methods topic, visit your repo's landing page and select "manage topics."