importance-sampling

Ray tracing glTF scene with Vulkan

The Noise Contrastive Estimation for softmax output written in Pytorch

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

Awesome Domain Adaptation Python Toolbox

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.

Clustering with variational Bayes and population Monte Carlo

Python Example of Monte Carlo Estimation & Importance Sampling

📷 webGL2 path tracing experiment.

An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)

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

Implementation of the paper: Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights

Massively Parallel Simulator of Optical Coherence Tomography (OCT-MPS)

Rendering glTF scenes with ray tracer and raster (Vulkan)

Pareto smoothed importance sampling

Expectation Particle Belief Propagation code

Some methods to sampling data points from a given distribution.

Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression

Collection of reinforcement learning algorithms implementations with TensorFlow2

Enumerating Search and Weighing of Trapping sets in LDPC codes, Importance Sampling