GitHub topics: importance-sampling

Repositories

adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

Language: Python - Size: 57.8 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 335 - Forks: 48

arviz-devs/PSIS.jl

Pareto smoothed importance sampling

Language: Julia - Size: 4.45 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 17 - Forks: 1

nvpro-samples/vk_gltf_renderer

Rendering glTF scenes with ray tracer and raster (Vulkan)

Language: C++ - Size: 10.9 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 199 - Forks: 14

enkimute/webgl2_pathtrace

:camera: webGL2 path tracing experiment.

Language: JavaScript - Size: 12.6 MB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 37 - Forks: 2

nvpro-samples/vk_raytrace 📦

Ray tracing glTF scene with Vulkan

Language: C++ - Size: 3.67 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 593 - Forks: 38

Jacks0nJ/PyFPT

Stochastic first-passage time (FPT) simulations using importance sampling.

Language: Python - Size: 46.9 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 11 - Forks: 1

mlian031/importance-sampling

This project focuses on drift parameter optimization for out-of-the-money options within a geometric Brownian motion framework, with extensions to jump diffusion models.

Language: Python - Size: 10.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 15.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 138 - Forks: 46

draktr/monte-library

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

Language: Python - Size: 114 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

cainmagi/Literature-inspections

The inspections on some important literatures, mainly including codes.

Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

banditml/offline-policy-evaluation

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

Language: Python - Size: 1.17 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 222 - Forks: 25

Stonesjtu/Pytorch-NCE

The Noise Contrastive Estimation for softmax output written in Pytorch

Language: Python - Size: 18.7 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 318 - Forks: 45

vsimkus/vae-conditional-sampling

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

Language: Python - Size: 65.4 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

alanjian85/prisma

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.

Language: Rust - Size: 156 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 12 - Forks: 1

RLOpensource/IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures

Language: Python - Size: 760 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 37 - Forks: 3

vformanyuk/reinforcement-learning

Collection of reinforcement learning algorithms implementations with TensorFlow2

Language: Python - Size: 257 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 12 - Forks: 2

riberaborrell/sde-hjb-solver

Solver for the HJB equation associated to the importance sampling problem of diffusion processes

Language: Python - Size: 3.47 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

pypmc/pypmc

Clustering with variational Bayes and population Monte Carlo

Language: Python - Size: 743 KB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 48 - Forks: 11

dnbaker/minicore

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

Language: C++ - Size: 34.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 6

tlienart/EPBP 📦

Expectation Particle Belief Propagation code

Language: Julia - Size: 744 KB - Last synced at: 5 days ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 2

hbarquanta/Monte-Carlo-Methods

Random Walk, Percolation, Ising Model, ..

Language: Jupyter Notebook - Size: 3.72 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

Lcrypto/trapping-sets-enumeration

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),

Language: Jupyter Notebook - Size: 73.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 20 - Forks: 7

VodLM/vod-gradients

Variational Open-Domain (VOD) - core methods (priority sampling, gradients)

Language: Python - Size: 926 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

mjvakili/ccppabc

Approximate Bayesian Computation

Language: Jupyter Notebook - Size: 52.8 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1

mollnn/manifold-path-guiding

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

Language: C++ - Size: 193 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 3

sumanghosh1999/Semiconductor-Process-Control-ECE6455-A

Semiconductor Process Control (ECE6455-A) @ Georgia Institute of Technology, Atlanta, GA, USA

Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

BRAINML-GT/vis

Variational Importance Sampling

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JerrySoybean/vis

Variational Importance Sampling

Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

baturaysaglam/AC-Off-POC

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

Language: Python - Size: 17.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

Julien6431/Importance-Sampling-VAE

Software and data related to the paper "Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling"

Language: Python - Size: 208 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

WayneDW/Contour-Stochastic-Gradient-Langevin-Dynamics

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

Language: Jupyter Notebook - Size: 113 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 9

SiavashMT/OCT-MPS

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

Language: Cuda - Size: 3.8 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 23 - Forks: 8

l-omar-chehab/annealing-normalizing-constants

Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond - NeurIPS 2023

Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

robinlau1981/MarginalLikelihoodEstimator

Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.

Language: MATLAB - Size: 8.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

yassineELMAAZOUZ/Rare-Events-Simulation-Twitter-Hawkes-Processes

Language: Python - Size: 5.38 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

corentinpla/PMCnet_extended

AIS algorithm for BNN inference

Language: Python - Size: 36.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

axsk/OptImpSampling.jl

Optimal Importance Sampling for Diffusion processes applied to ISOKANN.

Language: Julia - Size: 1.23 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

boennecd/pedmod

R package with quasi-Monte Carlo methods to estimate mixed models commonly used for random effect structures from pedigrees.

Language: HTML - Size: 41 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

ZJLAB-AMMI/HS-OMRL

Python code to implement hard sampling based task representation learning for robust offline meta RL

Language: Python - Size: 125 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

kgourgou/adaptive-importance-sampling-BN

Experimental code: adaptive importance sampling for bayesian networks.

Language: Python - Size: 39.1 KB - Last synced at: 23 days ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 2

manuvazquez/importance_sampling_with_transformed_weights

Importance sampling with transformed weights

Language: Python - Size: 33.2 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

florianmorath/Data-Mining

Data Mining course at ETH Zürich.

Language: Python - Size: 71.9 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

maxbiostat/IS4Mixtures

Importance sampling for (log-linear) mixtures

Language: R - Size: 31.3 KB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

leowyy/mcmc-importance-sampling

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

Language: Jupyter Notebook - Size: 253 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 2

JRigh/Importance-sampling-in-R

Importance sampling in R course notes and code

Language: R - Size: 197 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Tribanocci/Square-Ice

monte carlo simulation of square ice model for residual entropy calculation(thermodynamic properties)

Language: C++ - Size: 19.5 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

bradleyboyuyang/5G-SLA-Simulation

Service level agreement simulation for 5G network based on queueing systems.

Language: Python - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

jumboRT/jumboRT

A lightweight, portable, fast and powerful pathtracer

Language: C - Size: 305 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

dtak/osiris

Omitting-States-Irrelevant-to-Return Importance Sampling estimator for off-policy evaluation

Language: Python - Size: 29.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

nbip/notMIWAE

Code accompanying the notMIWAE paper

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

NGoetz/NF

An implementation of importance sampling with normalizing flows based on (Müller et. al, 2019), implemented in Pytorch. A phase space generator based on "RAMBO on diet" (Plätzer, 2018) is included in order to be used with matrix elements generated by, for example, MadGraph 5.

Language: Python - Size: 2.95 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1