monte-carlo-sampling

There are 2 repositories under monte-carlo-sampling topic.

MonteCarloMeasurements.jl
baggepinnen / MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
monte-carlo monte-carlo-sampling numeric-types uncertainty-propagation uncertainty-sampling error-propagation uncertainties physical-quantities error-analysis robust-optimization probability-distributions particle-filter monte-carlo-simulation gpu-acceleration gpu-computing
Language:Julia 256
SamplinSafari
wkjarosz / SamplinSafari
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
monte-carlo-sampling orthogonal-arrays quasi-monte-carlo sampling monte-carlo monte-carlo-ray-tracing integration numerical-integration computer-graphics graphics-rendering qmc mc
Language:C++ 152
lawmurray / Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning statistics
Language:C++ 107
naver / disco
A Toolkit for Distributional Control of Generative Models
ai alignment fine-tuning generative-models human-preferences language-models machine-learning monte-carlo-sampling distributional-policy-gradients
Language:Python 68
physhik / Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
python data-science maximum-likelihood-estimation clustering-algorithm kmeans-clustering hamiltonian-monte-carlo gibbs-sampling monte-carlo-sampling mathematica-notebook
Language:Jupyter Notebook 55
sshkhr / Practical_RL
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
reinforcement-learning deep-reinforcement-learning policy-gradient pytorch tensorflow bandit-algorithms monte-carlo-sampling td-learning markov-decision-processes evolutionary-algorithms
Language:Jupyter Notebook 51
tubanlee / REDS_Nonasymptotic
Robust estimations from distribution structures: III. Non-asymptotic
finite-sample finite-sample-bias monte-carlo monte-carlo-methods monte-carlo-sampling monte-carlo-simulation montecarlo montecarlo-simulation pseudo-random pseudo-random-generator pseudorandom pseudorandom-number-generator quasi-monte-carlo uniform-distribution
Language:R 31
vita-epfl / collaborative-gan-sampling
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
generative-adversarial-networks deep-generative-model monte-carlo-sampling image-synthesis
Language:Python 23
BSEL-UC3M / pMoSS
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
decay python statistics monte-carlo-sampling p-value nhst hypothesis-testing group-comparison big-data bioinformatics-analysis biostatistics monte-carlo
Language:Python 16
fricklerhandwerk / differential-privacy
Accompanying source code to my Bachelor's thesis at TUHH
differential-privacy accuracy-guarantees dataset monte-carlo-sampling gui sparse-vector
Language:Python 11
michibo / feyntrop
feyntrop integrates Feynman graphs using tropical sampling
feynman-diagrams feynman-integrals monte-carlo monte-carlo-integration monte-carlo-methods monte-carlo-sampling tropical-geometry
Language:C++ 11
shehio / Computational-Finance
yield-curve bootstrapping-statistics optimal-execution optimal-control stochastic-optima almgren-chriss markowitz-portfolio modern-portfolio-theory financial-engineering computational-finance financial-economics monte-carlo monte-carlo-simulation monte-carlo-sampling monte-carlo-integration
Language:MATLAB 10
ryanneph / BNPSeg
Bayesian Non-Parametric Image Segmentation using HDP-MRF
bayesian-inference bayesian-nonparametric-models cancer-imaging-research gibbs-sampling image-segmentation machine-learning medical-image-analysis monte-carlo-sampling
Language:Python 8
victorqribeiro / monteCarlo
Finding Areas Using the Monte Carlo Method
monte-carlo monte-carlo-sampling javascript area-of-image area
Language:JavaScript 8
YuejiangLIU / pytorch-collaborative-gan-sampling
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
generative-adversarial-networks deep-generative-models monte-carlo-sampling
Language:Python 7
ajrazander / random-science
Fun simulations and numerical calculations for the everyday physicist.
monte-carlo monte-carlo-sampling ising-model ising-model-2d quantum atomic-physics numerical-methods normal-modes
Language:Jupyter Notebook 6
ilmetjj / Easy-Ray-Tracing-Render
A simple c++ based ray-tracer rendering-engine with montecarlo sampling integration
raytracing monte-carlo simple cpp monte-carlo-sampling ray-tracer ray-tracing rendering rendering-3d-graphics rendering-engine engine ray raytracer render tracing
Language:C++ 5
amajji / Monte-Carlo
Monte Carlo overview and their applications
monte-carlo monte-carlo-methods monte-carlo-sampling monte-carlo-simulation monte-carlo-simulations monte-carlo-tree-search
Language:Jupyter Notebook 4
BrainDynamicsUSYD / braintrak
Real-time brain states tracking system and corticothalamic neural field parameter estimation
neuroscience data-fitting neural-fields eeg monte-carlo-sampling brain-activity
Language:MATLAB 4
GiovanniCiampi / confidence_interval_estimator_ML
This repo contains code to perform Bootstrap Confidence Intervals estimation (a.k.a. Monte Carlo Confidence Interval or Empirical Confidence Interval estimation) for Machine Learing models.
confidence-intervals confidence-estimation machine-learning deep-learning neural-networks bootstrap-confidence-intervals monte-carlo monte-carlo-sampling
Language:Jupyter Notebook 4
lukehatcher / diffusion_monte_carlo
This algorithm calculates the zero-point energy of a molecular system by monte-carlo sampling the system's potential energy surface.
monte-carlo-sampling dmc
Language:Python 4
MohammadAsadolahi / Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Monte-Carlo-in-python
solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using Monte-Carlo method Reinforcement Learning
reinforcement-learning reinforcement-learning-algorithms monte-carlo monte-carlo-methods monte-carlo-sampling frozenlake reinforcementlearning
Language:Jupyter Notebook 4
openPfizer / vpop-gen
Virtual population generation, fitting, and benchmarking.
quantitative-systems-pharmacology biological-modeling virtual-population ode-model genetic-algorithm global-optimization metropolis-hastings monte-carlo-sampling acceptance-rejection qsp
Language:MATLAB 4
chunshen1987 / hadronic_afterburner_toolkit
This program computes the particle pair HBT correlation from Monte-Carlo samples of emitted particles
monte-carlo-sampling c-plus-plus particle-correlation
Language:Python 3
Linus-J / CFR-in-C
CFR repo written with exectution time in mind using C. Repo contains implementations of different CFR variants that can be used with different imperfect information games.
c counterfactual-regret-minimization monte-carlo-sampling
Language:C 3
mcabinaya / Simulation-Methods-For-Stochastic-Systems
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
probability-distribution bernoulli-distribution exponential-distributions gaussian-distribution k-means-clustering gaussian-mixture-models expectation-maximization bag-of-words monte-carlo pi-estimator monte-carlo-integration monte-carlo-sampling mcmc-sampler optimization-algorithms travelling-salesman-problem ee511 stochastic-processes python networkx-graph
Language:Python 3
nextBillyonair / DPM
Differentiable Probabilistic Models
differentiable-probabilistic-models divergences elbo gans mcmc-methods mixture-models monte-carlo-approximation monte-carlo-sampling
Language:Jupyter Notebook 3
pie972 / Adversarial-Search
Research Paper about adversarial search
research-paper algorithm alphago alphago-zero alphagozero alphazero chess monte-carlo monte-carlo-methods monte-carlo-sampling monte-carlo-simulation monte-carlo-tree-search montecarlo montecarlo-simulation monterey-hackintosh tree tree-search trees algorithm-stages alphago-master
Language:Python 2
smousavi05 / Tests-of-probabilistic-hazard-estimates
Codes for statistical test of probabilistic seismic hazard assessments.
hazard-model statistical forecast monte-carlo-sampling probablistic-models
Language:MATLAB 2
wilsonCernWq / qaray
monte-carlo-sampling computer-graphics ray-tracing ray-tracer path-tracing global-illumination
Language:C++ 2
hs_alkane
dquigley533 / hs_alkane
Fortran2003 code (with C and Python bindings) implementing hard-sphere alkane models
molecular-simulation monte-carlo-simulation monte-carlo-sampling fortran2003
Language:Fortran 1
Jsos17 / Monte_Carlo
Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.
metropolis-hastings metropolis-hastings-algorithm metropolis-algorithm monte-carlo-simulation monte-carlo-sampling monte-carlo-methods jupyter jupyter-notebook jupyter-notebooks jupyternotebook python
Language:Jupyter Notebook 1
MauroCE / Dissertation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
bayesian-inference computational-statistics laplace-approximation logistic-regression machine-learning markov-chain markov-chain-monte-carlo mcmc monte monte-carlo-sampling monte-carlo-simulation monte-carlo-simulations prml python statistics variational variational-bayes variational-inference variational-method variational-monte-carlo
Language:Jupyter Notebook 1
mjvakili / ccppabc
Approximate Bayesian Computation
python bayesian-inference monte-carlo-sampling importance-sampling likelihood-free-inference
Language:Jupyter Notebook 1
stigrs / chemapps
ChemApps provides a suite of utility tools and programs for thermochemistry and chemical kinetics
chemistry chemical-kinetics thermochemistry conformer monte-carlo-sampling
Language:C++ 1
vivekawasthi1995 / Spare-Time
Estimating value of PI using Monte-Carlo algorithm
monte-carlo-sampling pi randomised-algorithms python
Language:Jupyter Notebook 1

monte-carlo-sampling

baggepinnen / MonteCarloMeasurements.jl

wkjarosz / SamplinSafari

lawmurray / Birch

naver / disco

physhik / Study-of-David-Mackay-s-book-

sshkhr / Practical_RL

tubanlee / REDS_Nonasymptotic

vita-epfl / collaborative-gan-sampling

BSEL-UC3M / pMoSS

fricklerhandwerk / differential-privacy

michibo / feyntrop

shehio / Computational-Finance

ryanneph / BNPSeg

victorqribeiro / monteCarlo

YuejiangLIU / pytorch-collaborative-gan-sampling

ajrazander / random-science

ilmetjj / Easy-Ray-Tracing-Render

amajji / Monte-Carlo

BrainDynamicsUSYD / braintrak

GiovanniCiampi / confidence_interval_estimator_ML

lukehatcher / diffusion_monte_carlo

MohammadAsadolahi / Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Monte-Carlo-in-python

openPfizer / vpop-gen

chunshen1987 / hadronic_afterburner_toolkit

Linus-J / CFR-in-C

mcabinaya / Simulation-Methods-For-Stochastic-Systems

nextBillyonair / DPM

pie972 / Adversarial-Search

smousavi05 / Tests-of-probabilistic-hazard-estimates

wilsonCernWq / qaray

dquigley533 / hs_alkane

Jsos17 / Monte_Carlo

MauroCE / Dissertation

mjvakili / ccppabc

stigrs / chemapps

vivekawasthi1995 / Spare-Time