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 285
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++ 161
lawmurray / Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics
Language:C++ 119
naver / disco
A Toolkit for Distributional Control of Generative Models
ai alignment distributional-policy-gradients fine-tuning generative-models human-preferences language-models machine-learning monte-carlo-sampling
Language:Python 73
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 58
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 54
johon-lituobang / 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 25
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 24
pringlesinghal / GreedyFed
Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
federated-learning monte-carlo-sampling shapley-value
Language:Python 18
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
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++ 12
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 12
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
victorqribeiro / monteCarlo
Finding Areas Using the Monte Carlo Method
monte-carlo monte-carlo-sampling javascript area-of-image area
Language:JavaScript 10
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 8
ryanneph / BNPSeg
Bayesian Non-Parametric Image Segmentation using HDP-MRF
bayesian-nonparametric-models bayesian-inference gibbs-sampling monte-carlo-sampling image-segmentation machine-learning medical-image-analysis cancer-imaging-research
Language:Python 8
YuejiangLIU / pytorch-collaborative-gan-sampling
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
deep-generative-models generative-adversarial-networks monte-carlo-sampling
Language:Python 8
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 7
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 7
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 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++ 6
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 5
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 5
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
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
Elktrn / 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
frozenlake monte-carlo monte-carlo-methods monte-carlo-sampling reinforcement-learning reinforcement-learning-algorithms reinforcementlearning
Language:Jupyter Notebook 3
nextBillyonair / DPM
Differentiable Probabilistic Models
monte-carlo-sampling mixture-models differentiable-probabilistic-models mcmc-methods divergences elbo monte-carlo-approximation gans
Language:Jupyter Notebook 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
bag-of-words bernoulli-distribution ee511 expectation-maximization exponential-distributions gaussian-distribution gaussian-mixture-models k-means-clustering mcmc-sampler monte-carlo monte-carlo-integration monte-carlo-sampling networkx-graph optimization-algorithms pi-estimator probability-distribution python stochastic-processes travelling-salesman-problem
Language:Python 2
pie972 / Adversarial-Search
Research Paper about adversarial search
algorithm algorithm-stages alphago alphago-master 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 research-paper tree tree-search trees
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
ThatSINEWAVE / Monte-Carlo-Engine
A web-based simulation tool that leverages the Monte Carlo method to generate probabilistic outcomes based on user-defined parameters.
monte-carlo monte-carlo-integration monte-carlo-methods monte-carlo-simulation montecarlo montecarlo-simulation thatsinewave monte-carlo-sampling probability probability-distribution simulation simulator visualization iterations good-first-issue good-first-issues good-first-pr good-first-pr-first-contribution good-first-contribution good-first-prs
Language:JavaScript 2
wilsonCernWq / qaray
monte-carlo-sampling computer-graphics ray-tracing ray-tracer path-tracing global-illumination
Language:C++ 2
JurijNastran / Ellipsoids
demonstration of methods implemented in my thesis "Robustness assessment of the biological processor using hyperellipsoids"
robustness-analysis monte-carlo-sampling hypercuboid hyperellipsoid volume synthetic-biology modelling simulation
Language:Jupyter Notebook 1
ron-che-debugger / LightSim3D
A GPU-accelerated, interactive Monte Carlo path tracer that enables real-time camera movement and object rotation, delivering realistic global illumination with physically based rendering and direct light sampling.
cuda-opengl monte-carlo-sampling raytracing real-time-rendering
Language:C++ 1
sbieringer / AdamMCMC
"AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization"
bayesian-deep-learning metropolis-hastings-algorithm monte-carlo-sampling stochastic-gradient-method
Language:Jupyter Notebook 1
SwamiKannan / Reinforcement-Learning-Specialization
Programming Assignments for Reinforcement Learning Specialization
actor-critic-algorithm amii capstone-project dqn lunar-lander q-learning reinforcement-learning td-learning actor-critic-methods monte-carlo-sampling policy-gradient sarsa-learning coursera specialization coursera-machine-learning university-of-alberta alberta-machine-learning-institute
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

johon-lituobang / REDS_Nonasymptotic

vita-epfl / collaborative-gan-sampling

pringlesinghal / GreedyFed

BSEL-UC3M / pMoSS

michibo / feyntrop

shehio / Computational-Finance

fricklerhandwerk / differential-privacy

victorqribeiro / monteCarlo

BrainDynamicsUSYD / braintrak

ryanneph / BNPSeg

YuejiangLIU / pytorch-collaborative-gan-sampling

ajrazander / random-science

openPfizer / vpop-gen

GiovanniCiampi / confidence_interval_estimator_ML

ilmetjj / Easy-Ray-Tracing-Render

amajji / Monte-Carlo

Linus-J / CFR-in-C

lukehatcher / diffusion_monte_carlo

chunshen1987 / hadronic_afterburner_toolkit

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

nextBillyonair / DPM

mcabinaya / Simulation-Methods-For-Stochastic-Systems

pie972 / Adversarial-Search

smousavi05 / Tests-of-probabilistic-hazard-estimates

ThatSINEWAVE / Monte-Carlo-Engine

wilsonCernWq / qaray

JurijNastran / Ellipsoids

ron-che-debugger / LightSim3D

sbieringer / AdamMCMC

SwamiKannan / Reinforcement-Learning-Specialization