importance-sampling

Ray tracing glTF scene with Vulkan

Awesome Domain Adaptation Python Toolbox

The Noise Contrastive Estimation for softmax output written in Pytorch

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

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

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

Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"

📷 webGL2 path tracing experiment.

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

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

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

A GPU-accelerated offline PBR path tracer that can generate photorealistic images from glTF scene descriptions using techniques such as microfacet-based BSDF models, BVH & SAH, IS, among others.

Importance Sampling and Linear Programming based Enumerating and Weighing of Trapping sets in LDPC codes, ISING models and related DNN Arch( Transformer, RBM, BM, SPN und etc),

Pareto smoothed importance sampling

Some methods to sampling data points from a given distribution.

Code accompanying the notMIWAE paper

Collection of reinforcement learning algorithms implementations with TensorFlow2

Expectation Particle Belief Propagation code