Topic: stochastic-differential-equations Goto Github
Some thing interesting about stochastic-differential-equations
Some thing interesting about stochastic-differential-equations
stochastic-differential-equations,Example codes for the book Applied Stochastic Differential Equations
Organization: aaltoml
stochastic-differential-equations,PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochastic version.
User: alanmatzumiya
stochastic-differential-equations,Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
User: algolzw
Home Page: https://algolzw.github.io/ir-sde/index.html
stochastic-differential-equations,Code repository for Liquid Time-stochasticity networks (LTSs)
User: ammar-raneez
Home Page: https://doi.org/10.1109/CCWC57344.2023.10099071
stochastic-differential-equations,Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
User: bottama
stochastic-differential-equations,Collection of notebooks about quantitative finance, with interactive python code.
User: cantaro86
stochastic-differential-equations,Hierarchical continuous time state space modelling
User: cdriveraus
stochastic-differential-equations,Variational Inference for Langevin Equations
Organization: citiususc
stochastic-differential-equations,Generate realizations of stochastic processes in python.
User: crflynn
Home Page: http://stochastic.readthedocs.io/en/stable/
stochastic-differential-equations,Python solver for the Brownian, Stochastic, or Noisy Differential Equations
User: delsquared
stochastic-differential-equations,A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
User: fholtorf
stochastic-differential-equations,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Organization: google-research
stochastic-differential-equations,Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
User: harryjo97
Home Page: https://arxiv.org/abs/2202.02514
stochastic-differential-equations,Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
User: horchler
Home Page: http://biorobots.case.edu
stochastic-differential-equations,An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
User: jirotubuyaki
stochastic-differential-equations,Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
User: jkirkby3
stochastic-differential-equations,A Julia package for critical transitions in dynamical systems with time-dependent forcing
Organization: juliadynamics
Home Page: https://juliadynamics.github.io/CriticalTransitions.jl/dev/
stochastic-differential-equations,Geometric Numerical Integration in Julia
Organization: juliagni
stochastic-differential-equations,Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
User: juliusberner
Home Page: https://arxiv.org/abs/2307.01198
stochastic-differential-equations,A Python library for simulating multilayer magnetic structures.
User: lemurpwned
Home Page: https://lemurpwned.github.io/cmtj/
stochastic-differential-equations,A C++ implementation of a stochastic level-set method.
User: lohedges
stochastic-differential-equations,kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
User: lrydin
stochastic-differential-equations,Python code for solving partial differential equations (PDEs) using deep learning. Specifically, we provide implementations for solving the following PDEs
User: mephistopheles-0
Home Page: https://arxiv.org/abs/1706.04702
stochastic-differential-equations,A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
User: mschauer
stochastic-differential-equations,Numerical experiments with stochastic differential equations
User: ocramz
stochastic-differential-equations,Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
User: planelles20
stochastic-differential-equations,📦 Python library for Stochastic Processes Simulation and Visualisation
User: quantgirluk
stochastic-differential-equations,A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)
User: ronsenbergvi
stochastic-differential-equations,The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Organization: sciml
stochastic-differential-equations,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
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqBayes/stable/
stochastic-differential-equations,Differential equation problem specifications and scientific machine learning for common financial models
Organization: sciml
stochastic-differential-equations,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
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqFlux/stable
stochastic-differential-equations,Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqOperators/stable/
stochastic-differential-equations,Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqParamEstim/stable/
stochastic-differential-equations,A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Organization: sciml
stochastic-differential-equations,Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Organization: sciml
stochastic-differential-equations,Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Organization: sciml
stochastic-differential-equations,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.
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqDocs/stable/
stochastic-differential-equations,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
Organization: sciml
Home Page: https://mtk.sciml.ai/dev/
stochastic-differential-equations,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://tutorials.sciml.ai
stochastic-differential-equations,Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Organization: sciml
stochastic-differential-equations,SdePy: Numerical Integration of Ito Stochastic Differential Equations
User: sdepy
stochastic-differential-equations,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)
User: tatevkaren
stochastic-differential-equations,Python package to discover stochastic differential equations from time series data
Organization: tee-lab
stochastic-differential-equations,A variational method for fast, approximate inference for stochastic differential equations.
User: tom-ryder
stochastic-differential-equations,Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
User: xwinxu
Home Page: https://arxiv.org/abs/2102.06559
stochastic-differential-equations,Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
User: yang-song
Home Page: https://arxiv.org/abs/2011.13456
stochastic-differential-equations,PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
User: yang-song
Home Page: https://arxiv.org/abs/2011.13456
stochastic-differential-equations,Zheng Zhao's doctoral dissertation from Aalto University
User: zgbkdlm
stochastic-differential-equations,State-space deep Gaussian processes in Python and Matlab
User: zgbkdlm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.