GitHub topics: stochastic-differential-equations
Techtonique/esgtoolkit
Tools for Stochastic Simulation using diffusion models (R).
Language: R - Size: 2.7 MB - Last synced at: about 8 hours ago - Pushed at: about 18 hours ago - Stars: 12 - Forks: 3

SciML/diffeqr
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Language: R - Size: 235 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 144 - Forks: 16

cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 6,452 - Forks: 1,169

cstarkjp/DPLangevin
Operator-splitting method of integrating DP/APT Langevin equations
Language: Jupyter Notebook - Size: 148 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Eduardo-Nino/Inferencia-Estadistica-en-Ecuaciones-Diferenciales-Estocasticas
Inferencia estadística en Ecuaciones Diferenciales Estocásticas (EDE) y modelos estocásticos con aplicaciones reales en finanzas, biología y epidemiología: simulación de EDE, MCMC, EM y estimación de parámetros con datos discretos con su implementaciones en Python y R.
Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

tee-lab/PyDaddy
Python package to discover stochastic differential equations from time series data
Language: Python - Size: 131 MB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 97 - Forks: 12

LemurPwned/cmtj
Simulate multilayer magnetic structures in Python and C++
Language: Python - Size: 52.8 MB - Last synced at: 1 day ago - Pushed at: 9 days ago - Stars: 39 - Forks: 5

komahanb/pspace
Probabilistic space module for stochastic galerkin and stochastic collocation computations
Language: C++ - Size: 1.96 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 1

SciML/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Language: Julia - Size: 169 MB - Last synced at: 4 days ago - Pushed at: 19 days ago - Stars: 2,994 - Forks: 241

JuliaDynamics/CriticalTransitions.jl
A Julia package for critical transitions in dynamical systems with time-dependent forcing
Language: Julia - Size: 47.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 38 - Forks: 4

SciML/DiffEqParamEstim.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Language: Julia - Size: 3.79 MB - Last synced at: 1 day ago - Pushed at: 5 days ago - Stars: 60 - Forks: 34

SciML/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Language: Julia - Size: 1010 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,549 - Forks: 232

SciML/DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Language: Julia - Size: 849 KB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 79 - Forks: 39

SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Language: Julia - Size: 3.24 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 345 - Forks: 120

NaughtFound/DiffusionModel
Different Implementation of Diffusion Models
Language: Python - Size: 164 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

metroidguy27/mo-tool
📱 Test SMS securely and efficiently with MO Tool, an advanced utility for Termux on Android, designed for security researchers and ethical hackers.
Language: Python - Size: 15.6 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

SciML/StochasticDiffEq.jl
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Language: Julia - Size: 4.16 MB - Last synced at: 7 days ago - Pushed at: 25 days ago - Stars: 298 - Forks: 72

Hanslo1687/stocalc.github.io
💰 Explore advanced concepts in stochastic calculus and mathematical finance with resources for quantitative methods and no-arbitrage principles.
Language: HTML - Size: 2.5 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

vantahawk/NM_SDE_ML
Numerical recipes for homework tasks I worked on during a math course on stochastic processes in WS24, mostly for computing various scale-error-relationships
Language: Python - Size: 9.77 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

lmcj-xyz/PhD_Numerical_Schemes_SDEs
Numerical schemes to find solutions of SDEs
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 2 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

afparram/numerical-option-pricing-duke-energy
Size: 2.73 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

SciML/diffeqpy
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Language: Python - Size: 171 KB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 574 - Forks: 44

SciML/DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Language: Julia - Size: 41.5 MB - Last synced at: 8 days ago - Pushed at: 25 days ago - Stars: 125 - Forks: 28

SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Language: Julia - Size: 189 MB - Last synced at: about 13 hours ago - Pushed at: 20 days ago - Stars: 892 - Forks: 160

crflynn/stochastic
Generate realizations of stochastic processes in python.
Language: Python - Size: 3.73 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 482 - Forks: 87

SciML/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: CSS - Size: 217 MB - Last synced at: 1 day ago - Pushed at: 26 days ago - Stars: 734 - Forks: 126

mohsensadr/MESSY
Symbolic density estimation using maximum entropy principle
Language: Python - Size: 1.26 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

LRydin/KramersMoyal
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Language: Python - Size: 4.69 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 74 - Forks: 12

quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
Language: Python - Size: 87.3 MB - Last synced at: 22 days ago - Pushed at: 5 months ago - Stars: 325 - Forks: 36

Aschii85/sde-sim-rs
Powerful and flexible stochastic differential equation (quasi) Monte-Carlo simulation library written in Rust with Python bindings
Language: Rust - Size: 70.3 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

jung235/pydiffuser
A simulation framework for nonequilibrium statistical physics
Language: Python - Size: 418 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

jkirkby3/pymle
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Language: Python - Size: 223 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 53 - Forks: 13

SciML/DiffEqFinancial.jl
Differential equation problem specifications and scientific machine learning for common financial models
Language: Julia - Size: 404 KB - Last synced at: 1 day ago - Pushed at: 26 days ago - Stars: 29 - Forks: 14

cdriveraus/ctsem
Hierarchical continuous time state space modelling
Language: R - Size: 144 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 43 - Forks: 17

Diljit22/optpricing
Pricing & calibration engine (15+ models; API + CLI + Streamlit UI)
Language: Python - Size: 25.6 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

tttc3/MCCube
Markov Chain Cubature via JAX. Efficient SDE solving and Bayesian inference.
Language: Python - Size: 232 KB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

chris-stanton50/particles-cdssm
Sequential Monte Carlo methods for Continuous-Discrete State Space Models
Language: Python - Size: 86.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Rudschuck/Stochastic-Mechanics-and-Quantum-Mechanics
Compendium on Nelson's stochastic mechanics as an interpretation of quantum mechanics.
Language: HTML - Size: 14.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

JuliaGNI/GeometricIntegrators.jl
Geometric Numerical Integration in Julia
Language: Julia - Size: 13 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 50 - Forks: 10

Ricardo711/Bachelors-Thesis-Black-Scholes-
This repository contains my Bachelor's thesis in Mathematics, which focuses on stochastic differential equations and the derivation of the Black-Scholes formula for option pricing. I'm currently expanding this work by integrating deep reinforcement learning techniques to explore modern approaches in financial modeling.
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dimitra-maoutsa/Geometric-path-augmentation-for-SDEs
Repository for inference method for stochastic processes through geometric path augmentation
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Language: Jupyter Notebook - Size: 4.35 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 1,659 - Forks: 222

yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Language: Jupyter Notebook - Size: 3.93 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1,921 - Forks: 330

BoltzmannEntropy/DDPM
Book: The Art and Science of Diffusion Models in Generative AI
Size: 2.87 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Language: Python - Size: 4.18 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1,645 - Forks: 209

FHoltorf/MarkovBounds.jl
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
Language: Julia - Size: 8.07 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 15 - Forks: 0

SciML/DiffEqOperators.jl 📦
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Language: Julia - Size: 3.33 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 283 - Forks: 72

piers-hinds/RMVSDE-numerics
Numerics for the paper "Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications"
Language: Python - Size: 29.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

NirupamKhanal/Radioactive
Mathematics, Physics undergraduate degree plan at the University of Southern Mississippi.
Language: Python - Size: 8.28 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dancixx/stochastic-js
This project try to bring closer the stochastic calculus and Typescript.
Language: TypeScript - Size: 293 KB - Last synced at: 20 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2

sandialabs/Neural-Random-Walker
A suite of codes for performing discrete time Markov chain random walks with neuromorphic hardware and simulators.
Language: Python - Size: 55.7 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2

LituRout/RF-Inversion
Rectified Flow Inversion (RF-Inversion) - ICLR 2025
Language: Python - Size: 12.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 363 - Forks: 15

DelSquared/Brownian-Motion
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
Language: Python - Size: 1.73 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 2

juliusberner/sde_sampler
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
Language: Python - Size: 2.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 59 - Forks: 9

TatevKaren/Finance-Projects
Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)
Language: MATLAB - Size: 1.82 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 2

UQatKIT/PySDE
A light-weight numerical integrator for stochastic differential equations
Language: Python - Size: 813 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

NirupamKhanal/Quant
Quantitative finance and econometric modelling
Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ThePandalorian/Bhat_Guttal_2023_finite_evolution Fork of tee-lab/Bhat_Guttal_2023_finite_evolution
Scripts and data accompanying Bhat and Guttal 2025, "Eco-evolutionary dynamics for finite populations and the noise-induced reversal of selection" in The American Naturalist.
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ylefay/bayesianSDEsolver
Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
Language: Python - Size: 4.11 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 8 - Forks: 0

owlas/magpy
C++ accelerated python module for simulating magnetic nanostructures
Language: C++ - Size: 3.22 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3

tee-lab/data-driven-mesoscale-sde
Code for the paper: Data-driven discovery of stochastic dynamical equations of collective motion. Nabeel, A., Jadhav, V., Raj, M. D., Sire, C., Theraulaz, G., Escobedo, R., Iyer, S. K., & Guttal, V. (2023) Physical Biology, 20(5), 056003
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

mschauer/Bridge.jl
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 112 - Forks: 19

YannickKae/Interest-Rate-Simulation
This repository contains the code for the R Shiny tool "Interest Rate Simulation", an interactive tool for gaining intuition for one-factor equilibrium models.
Language: R - Size: 248 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

pika-pikachu/BoundaryCrossingProbabilities.jl
Computes the boundary crossing probability for a general diffusion process and time-dependent boundary.
Language: Julia - Size: 1.31 MB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

milliCoulomb/monte_carlo_rod
One velocity monte carlo for the rod problem with advection-diffusion of DNPs
Language: C++ - Size: 351 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

NoeDebrois/Computational_Mathematics
A repo which deals with Computational Methods in Mathematics, mainly applied in the context of Mathematical Finance, even though it can be applied to almost any domain where you need Probability, Partial Differential Equations, Stochastic Differential Equations, Characteristic Functions, Lévy Processes, Stochastic Volatility, FFT, etc.
Language: MATLAB - Size: 632 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

mohsensadr/Monte-Carlo-Particle-Method
Monte Carlo methods for kinetic description of multi-phase fluid flows
Language: C++ - Size: 7.77 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LKohlhepp/Ito-Monte-Carlo
MC-Simulation of the Ito-SDE (Krülls 1994)
Language: Python - Size: 7.81 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

zgbkdlm/tme
Taylor moment expansion in Python (JaX and SymPy) and Matlab
Language: Python - Size: 1.27 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 0

PrachTecha/scTCIpy
A package for calculating the cell transition indices to identify the transitioning cells using stochastic differential equations (SDEs).
Language: Jupyter Notebook - Size: 4.21 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

SalmanFarizN/pybdynamics
Python package for simulation and data analysis of interacting colloidal particle systems.
Language: Python - Size: 74.2 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

g4vrel/sde_ddpm
A minimal implementation of Score-Based Generative Modeling through SDEs
Language: Python - Size: 2.04 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ZakariaBensaid/DeepFBSDEJSolvers
Deep Global, Local and MultiStep solvers approximating the solutions of FBSDEs with jumps which are related to a class of (PIDEs) Partial Integro-Differential Equations.
Language: Python - Size: 301 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

ramonVDAKKER/teaching-quantitative-finance
Auxiliary material course Quantitative Finance (Tilburg University)
Language: Jupyter Notebook - Size: 9.83 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

zblasingame/AdjointDEIS
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
Size: 1.03 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

HuangGahow/Derivatives-Pricing
Derivatives Pricing
Language: Python - Size: 47.9 KB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

spdes/chirpgp
Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes
Language: Python - Size: 939 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 10 - Forks: 0

JFagin/latent_SDE
Code for "Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties"
Language: Python - Size: 20.8 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

ogarciav/resde
Estimation in Stochastic Differential Equations
Language: R - Size: 422 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

dnguyend/jax-rb
riemanian brownian motion using jax
Language: Python - Size: 5.47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

LucaPizzagalli/motion-microswimmers-simulation 📦
Simulation of the motion of the eukariotic cell Chlamydomonas Reinhardtii
Language: C++ - Size: 33.3 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

citiususc/voila
Variational Inference for Langevin Equations
Language: R - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 21 - Forks: 3

juliusberner/neural_wos Fork of bizoffermark/neural_wos
Efficient neural PDE solvers for elliptic PDEs based on Walk-on-Spheres methods.
Language: Python - Size: 177 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Mephistopheles-0/DeepBSDE
Python code for solving partial differential equations (PDEs) using deep learning. Specifically, we provide implementations for solving the following PDEs
Language: Jupyter Notebook - Size: 388 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 8

dsagolla/nssvie
Language: Python - Size: 503 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

coursekevin/arlatentsde
Accompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs
Language: Python - Size: 159 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

ojeda-e/Langevin-dynamics
Langevin equation for organelle transport with and w/o molecular motors.
Language: Fortran - Size: 189 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

RM503/Stochastic_Inflation
Codes for numerically solving stochastic inflationary dynamics in slow-roll and beyond.
Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dimitra-maoutsa/DeterministicParticleFlowControl
Repository for Deterministic Particle Flow Control framework
Language: Python - Size: 42.3 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

nishantsule/Langevin-Dynamics
Simulation of Langevin dynamics
Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 4

ocramz/sde
Numerical experiments with stochastic differential equations
Language: Haskell - Size: 535 KB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 4

Neumann-A/StochasticPhysics
A C++ "Framework" to perform stochastic simulations. Currently mainly focused on the simulation of the magnetisation behavior of nanoparticles in a makrospin approximation
Language: C++ - Size: 978 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

antoine311200/BSDE-tensor-networks
Parabolic PDE resolution with Tensor Networks using Backward-Forward Stochastic Differential Equations
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Algolzw/image-restoration-sde
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Language: Python - Size: 47.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 339 - Forks: 19

KhashayarRahimi/Option-Pricing
Different Methods for Pricing and Trading Persian Options
Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

vrettasm/VGPA
Variational Gaussian Process Approximation. This project contains a python3 implementation of the original VGPA algorithm for approximate inference in SDEs.
Language: Python - Size: 236 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

vrettasm/HamiltonianMonteCarlo
Hamiltonian Monte Carlo (HMC) sampling method in Python3, based on the original paper: Simon Duane, Anthony D. Kennedy, Brian J. Pendleton and Duncan Roweth (1987). "Hybrid Monte Carlo". Physics Letters B. 195 (2): 216–222.
Language: Python - Size: 7.19 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

yuvalofek/Financial-Signal-Processing
Financial engineering from a signal processing perspective
Language: Jupyter Notebook - Size: 877 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

MaciejRola/neuralSDE
Code of numerical experiments in Master's thesis [TBD]
Language: Python - Size: 5.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Peiyannn/Neural-Operator-with-Regularity-Structure
Language: Python - Size: 93.8 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
