The Noise Contrastive Estimation for softmax output written in Pytorch
-
Updated
Nov 6, 2019 - Python
The Noise Contrastive Estimation for softmax output written in Pytorch
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.
Ray tracing glTF scene with Vulkan
Implementations and examples of common offline policy evaluation methods in Python.
Clustering with variational Bayes and population Monte Carlo
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
Rendering glTF scenes with ray tracer and raster (Vulkan)
Massively Parallel Simulator of Optical Coherence Tomography (OCT-MPS)
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),
Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
MATLAB code to generate pairwise, uncorrelated encounters
Code accompanying the notMIWAE paper
Some methods to sampling data points from a given distribution.
Sampling from manifold-restricted Gaussians.
Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"
Implementation of the paper: Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights
Service level agreement simulation for 5G network based on queueing systems.
Expectation Particle Belief Propagation code
Add a description, image, and links to the importance-sampling topic page so that developers can more easily learn about it.
To associate your repository with the importance-sampling topic, visit your repo's landing page and select "manage topics."