https://github.com/nvpro-samples/vk_raytrace

Ray tracing glTF scene with Vulkan

gltf gltf2 hdr importance-sampling pbr raytracing tonemapping vulkan

Last synced: 23 Oct 2025

https://github.com/adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

adversarial-learning adversarial-networks dann deep-learning domain-adaptation feature-selection few-shot-learning generalization importance-sampling machine-learning python regularization-parameters scikit-learn tensorflow transfer-learning zero-shot-learning

Last synced: 15 May 2025

https://github.com/stonesjtu/pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch

importance-sampling language-model nce nce-criterion pytorch softmax speedup

Last synced: 06 Apr 2025

https://github.com/banditml/offline-policy-evaluation

Implementations and examples of common offline policy evaluation methods in Python.

counterfactual-learning counterfactual-policy-evaluation doubly-robust importance-sampling off-policy-evaluation offline-policy-evaluation

Last synced: 06 Apr 2025

https://github.com/nvpro-samples/vk_gltf_renderer

Rendering glTF scenes with ray tracer and raster (Vulkan)

cubemap gltf gltf2 importance-sampling pbr raytracing tonemapping vulkan

Last synced: 05 Apr 2025

https://github.com/tatevkaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests

Last synced: 10 Apr 2025

https://github.com/pypmc/pypmc

Clustering with variational Bayes and population Monte Carlo

clustering cython importance-sampling markov-chain population-monte-carlo python variational-bayes

Last synced: 21 Oct 2025

https://github.com/kevinzakka/learn-monte-carlo

Python Example of Monte Carlo Estimation & Importance Sampling

importance-sampling monte-carlo python

Last synced: 24 Mar 2025

https://github.com/rlopensource/impala-scalable-distributed-deep-rl-with-importance-weighted-actor-learner-architectures

deep-reinforcement-learning impala importance-sampling multi-threading reinforcement-learning tensorflow

Last synced: 15 Apr 2025

https://github.com/enkimute/webgl2_pathtrace

:camera: webGL2 path tracing experiment.

gpgpu hammersley importance-sampling javascript pathtracing webgl2

Last synced: 13 Apr 2025

https://github.com/dnbaker/minicore

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

approximation-algorithms bregman-divergence clustering coreset importance-sampling kmeansplusplus localsearchplusplus mbkmeans

Last synced: 19 Sep 2025

https://github.com/arviz-devs/psis.jl

Pareto smoothed importance sampling

bayesian importance-sampling julia

Last synced: 02 Apr 2026

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/vsimkus/vae-conditional-sampling

[TMLR] Research code for the paper "Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling".

conditional-sampling data-science importance-sampling incomplete-data mcmc missing-data vae

Last synced: 30 Jun 2026

https://github.com/hbarquanta/monte-carlo-methods

Random Walk, Percolation, Ising Model, ..

importance-sampling ising-model langevin-equations montecarlo-methods random-walk statisticalphysics

Last synced: 09 Feb 2026

https://github.com/helske/diagis

Auxiliary functions for importance sampling

cpp importance-sampling r weighted-samples

Last synced: 29 Apr 2026

https://github.com/cainmagi/literature-inspections

The inspections on some important literatures, mainly including codes.

deep-learning gibbs-sampler gibbs-sampling gibbs-sampling-algorithm importance-sampling loss-functions machine-learning machine-learning-algorithms metropolis metropolis-hastings monte-carlo monte-carlo-integration monte-carlo-methods monte-carlo-simulation neural-network optimization optimization-algorithms stochastic-optimization

Last synced: 18 Mar 2026

https://github.com/maxbiostat/is4mixtures

Importance sampling for (log-linear) mixtures

importance-sampling model-combination predictive-modeling

Last synced: 24 Apr 2025

https://github.com/axsk/optimpsampling.jl

Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

importance-sampling isokann machine-learning optimal-control reinforce scrapbook zib

Last synced: 06 Mar 2026