importance-sampling

There are 4 repositories under importance-sampling topic.

nvpro-samples / vk_raytrace
Ray tracing glTF scene with Vulkan
vulkan gltf raytracing importance-sampling gltf2 tonemapping hdr pbr
Language:C++ 493
Stonesjtu / Pytorch-NCE
The Noise Contrastive Estimation for softmax output written in Pytorch
pytorch nce language-model nce-criterion importance-sampling speedup softmax
Language:Python 311
adapt-python / adapt
Awesome Domain Adaptation Python Toolbox
domain-adaptation transfer-learning few-shot-learning zero-shot-learning adversarial-learning adversarial-networks feature-selection importance-sampling regularization-parameters machine-learning deep-learning generalization python tensorflow scikit-learn dann
Language:Python 271
banditml / offline-policy-evaluation
Implementations and examples of common offline policy evaluation methods in Python.
importance-sampling counterfactual-learning off-policy-evaluation offline-policy-evaluation doubly-robust counterfactual-policy-evaluation
Language:Python 217
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
Language:R 102
nvpro-samples / vk_shaded_gltfscene
Rendering glTF scenes with ray tracer and raster (Vulkan)
cubemap gltf gltf2 importance-sampling pbr raytracing tonemapping vulkan
Language:C++ 74
pypmc / pypmc
Clustering with variational Bayes and population Monte Carlo
clustering python variational-bayes population-monte-carlo markov-chain importance-sampling cython
Language:Python 48
WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
importance-sampling wang-landau-algorithm sgld sghmc sgmcmc
Language:Jupyter Notebook 37
enkimute / webgl2_pathtrace
:camera: webGL2 path tracing experiment.
webgl2 pathtracing hammersley importance-sampling javascript gpgpu
Language:JavaScript 34
RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures
impala deep-reinforcement-learning importance-sampling tensorflow reinforcement-learning multi-threading
Language:Python 34
dnbaker / minicore
Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
coreset approximation-algorithms clustering bregman-divergence kmeansplusplus mbkmeans localsearchplusplus importance-sampling
Language:C++ 32
lyfxyz / bisml
Implementation of the paper: Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights
rendering path-tracing importance-sampling
Language:C++ 31
mollnn / manifold-path-guiding
Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"
caustics importance-sampling light-transport manifold path-guiding path-tracing rendering siggraph specular siggraph-asia
Language:C++ 28
SiavashMT / OCT-MPS
Massively Parallel Simulator of Optical Coherence Tomography (OCT-MPS)
python monte-carlo boost cuda optical-coherence-tomography monte-carlo-simulation c cpython netgen importance-sampling
Language:Cuda 23
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),
importance-sampling trapping-sets ldpc jupyter matlab mixed-integer-programming python
Language:MATLAB 19
arviz-devs / PSIS.jl
Pareto smoothed importance sampling
importance-sampling bayesian julia
Language:Julia 17
lxcnju / sampling
Some methods to sampling data points from a given distribution.
sampling-methods cdf box-muller metropolis-hastings rejection-sampling importance-sampling
Language:Python 13
nbip / notMIWAE
Code accompanying the notMIWAE paper
iwae missing-values missing-data missing-data-imputation missing-not-at-random deep-generative-modelling variational-inference importance-sampling importance-weighted-autoencoder
Language:Jupyter Notebook 12
vformanyuk / reinforcement-learning
Collection of reinforcement learning algorithms implementations with TensorFlow2
reinforcement-learning tensorflow2 ddqn a2c ppo ddpg td3 sac per importance-sampling ape-x r2d2 qr-dqn iqn
Language:Python 12
tlienart / EPBP
Expectation Particle Belief Propagation code
bayesian-inference markov-random-field belief-propagation importance-sampling expectation-propagation
Language:Julia 11
hammouc / Multilevel-Monte-Carlo-with-Importance-Sampling-for-SRNs
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
multilevel-models multilevel multilevel-monte-carlo importance-sampling biological-networks biological-simulations matlab stochastic-simulation-algorithm stochastic-reaction-networks stochastic-biological-systems monte-carlo-methods numerical-analysis numerical-simulations stochastic-process
Language:MATLAB 10
leowyy / mcmc-importance-sampling
Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
mcmc bayesian-linear-regression importance-sampling
Language:Jupyter Notebook 10
baturaysaglam / AC-Off-POC
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
actor-critic deep-reinforcement-learning experience-replay importance-sampling off-policy
Language:Python 9
Jacks0nJ / PyFPT
Stochastic first-passage time (FPT) simulations using importance sampling.
cosmology cython first-passage-times importance-sampling inflation stochastic
Language:Python 8
kgourgou / adaptive-importance-sampling-BN
Experimental code: adaptive importance sampling for bayesian networks.
sampling-methods importance-sampling bayesian-network bayesian-inference adaptive
Language:Python 8
jumboRT / jumboRT
A lightweight, portable and powerful pathtracer
bsdf importance-sampling opencl pathtracer pathtracing raytracing distributed-computing
Language:C 6
IWAE
nbip / IWAE
Importance Weighted Autoencoders in TensorFlow 2, reproducing results from the IWAE paper with 1 or 2 stochastic layers
iwae importance-weighted-autoencoder dreg vae tensorflow2 dreg-estimator iwae-paper variational-posteriors variational-inference importance-sampling paper-implementations deep-generative-modelling
Language:Python 6
boennecd / pedmod
R package with quasi-Monte Carlo methods to estimate mixed models commonly used for random effect structures from pedigrees.
generalized-linear-mixed-models probit threshold-model mixed-models pedigree importance-sampling quasi-monte-carlo graph-partitioning
Language:HTML 5
bradleyboyuyang / 5G-SLA-Simulation
Service level agreement simulation for 5G network based on queueing systems.
5g-simulation deficit-round-robin event-simulations importance-sampling laplace-transform service-level-agreement static-priority-scheduling stochastic-simulation weighted-fair-queueing
Language:Python 5
Numeric_Simulation_Laboratory
Davide-Mapelli / Numeric_Simulation_Laboratory
Numerical Simulation Laboratory at Unimi in 2020-2021 (D.E. Galli). Advanced Monte Carlo methods: Markov chains, Metropolis algorithm. Numerical simulations in statistical mechanics. Stochastic calculus and stochastic differential equation. Computational intelligence, stochastic optimization. Parallel computing and parallel programming. Machine learning and deep neural networks
monte-carlo-methods genetic-algorithms machine-learning stochastic-optimization markov-chain parallel-computing neural-networks metropolis-monte-carlo gibbs-sampling importance-sampling molecular-dynamics stochastic-differential-equations computational-intelligence ising-model-1d tsp-problem
Language:Jupyter Notebook 5
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.
artificial-intelligence bayesian-inference bioinformatics chemistry engineering finance gibbs-sampling hamiltonian-monte-carlo importance-sampling integration markov-chain-monte-carlo mathematics mcmc metropolis-hastings metropolis-monte-carlo monte-carlo physics quantitative-finance rejection-sampling statistical-computing
Language:Python 3
Julien6431 / Importance-Sampling-VAE
Software and data related to the paper "Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling"
importance-sampling variational-autoencoder rare-events
Language:Python 3
liziniu / ISWBC
Code for NeurIPS 2023 Paper (Imitation Learning from Imperfection: Theoretical Justifications and Algorithms)
data-selection imitation-learning importance-sampling neurips-2023 reinforcement-learning
Language:Python 3
robinlau1981 / MarginalLikelihoodEstimator
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
annealed-importance-sampling bayesian-methods exoplanet-detection expectation-maximization-algorithm importance-sampling mixture-model model-selection student-s-t-distribution
Language:MATLAB 3
yassineELMAAZOUZ / Rare-Events-Simulation-Twitter-Hawkes-Processes
hawkes probability estimation importance-sampling
Language:Python 3
ZJLAB-AMMI / HS-OMRL
Python code to implement hard sampling based task representation learning for robust offline meta RL
imbalanced-learning importance-sampling meta-reinforcement-learning offline-reinforcement-learning reinforcement-learning-algorithms
Language:Python 3

importance-sampling

nvpro-samples / vk_raytrace

Stonesjtu / Pytorch-NCE

adapt-python / adapt

banditml / offline-policy-evaluation

TatevKaren / mathematics-statistics-for-data-science

nvpro-samples / vk_shaded_gltfscene

pypmc / pypmc

WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics

enkimute / webgl2_pathtrace

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

dnbaker / minicore

lyfxyz / bisml

mollnn / manifold-path-guiding

SiavashMT / OCT-MPS

Lcrypto / trapping-sets-enumeration

arviz-devs / PSIS.jl

lxcnju / sampling

nbip / notMIWAE

vformanyuk / reinforcement-learning

tlienart / EPBP

hammouc / Multilevel-Monte-Carlo-with-Importance-Sampling-for-SRNs

leowyy / mcmc-importance-sampling

baturaysaglam / AC-Off-POC

Jacks0nJ / PyFPT

kgourgou / adaptive-importance-sampling-BN

jumboRT / jumboRT

nbip / IWAE

boennecd / pedmod

bradleyboyuyang / 5G-SLA-Simulation

Davide-Mapelli / Numeric_Simulation_Laboratory

draktr / monte-library

Julien6431 / Importance-Sampling-VAE

liziniu / ISWBC

robinlau1981 / MarginalLikelihoodEstimator

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

ZJLAB-AMMI / HS-OMRL