monte-carlo-sampling
There are 57 repositories under monte-carlo-sampling topic.
baggepinnen/MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
wkjarosz/SamplinSafari
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
naver/disco
A Toolkit for Distributional Control of Generative Models
physhik/Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
sshkhr/Practical_RL
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
johon-lituobang/REDS_Nonasymptotic
Robust estimations from distribution structures: III. Non-asymptotic
vita-epfl/collaborative-gan-sampling
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
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
pringlesinghal/GreedyFed
Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"
michibo/feyntrop
feyntrop integrates Feynman graphs using tropical sampling
fricklerhandwerk/differential-privacy
Accompanying source code to my Bachelor's thesis at TUHH
ryanneph/BNPSeg
Bayesian Non-Parametric Image Segmentation using HDP-MRF
victorqribeiro/monteCarlo
Finding Areas Using the Monte Carlo Method
ajrazander/random-science
Fun simulations and numerical calculations for the everyday physicist.
YuejiangLIU/pytorch-collaborative-gan-sampling
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
amajji/Monte-Carlo
Monte Carlo overview and their applications
BrainDynamicsUSYD/braintrak
Real-time brain states tracking system and corticothalamic neural field parameter estimation
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.
ilmetjj/Easy-Ray-Tracing-Render
A simple c++ based ray-tracer rendering-engine with montecarlo sampling integration
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.
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.
openPfizer/vpop-gen
Virtual population generation, fitting, and benchmarking.
chunshen1987/hadronic_afterburner_toolkit
This program computes the particle pair HBT correlation from Monte-Carlo samples of emitted particles
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
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
nextBillyonair/DPM
Differentiable Probabilistic Models
smousavi05/Tests-of-probabilistic-hazard-estimates
Codes for statistical test of probabilistic seismic hazard assessments.
pie972/Adversarial-Search
Research Paper about adversarial search
dquigley533/hs_alkane
Fortran2003 code (with C and Python bindings) implementing hard-sphere alkane models
Jsos17/Monte_Carlo
Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.
MauroCE/Dissertation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
stigrs/chemapps
ChemApps provides a suite of utility tools and programs for thermochemistry and chemical kinetics
vivekawasthi1995/Spare-Time
Estimating value of PI using Monte-Carlo algorithm