44 Open Source Sde Software Projects

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A 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

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

New home of Swift Development Environment for VS Code

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

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

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Python package used for generating HTML reports about the contents of Esri geodatabases.

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Differential equation problem specifications and scientific machine learning for common financial models

The SciML Scientific Machine Learning Software Organization Website

Simple Data Explorer

Jdmbs: An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

Numerical experiments with stochastic differential equations

Computing FLOPs with Intel Software Development Emulator (Intel SDE)

MFM community development code

Solvers for steady states in scientific machine learning (SciML)

公众号【码农田小齐】的分类合集

This repository contains opportunities for you to apply to more than 300 product base companies(NOT JUST FAANGM) & good start-ups.

A collection of a number of design patterns and principles written in Kotlin

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

The Repository Contains All the Technical Stuff's Related To SDE

:octocat: 🌟ᴛʜɪꜱ ɪꜱ ᴛʜᴇ ꜱᴏʟᴜᴛɪᴏɴ ᴏꜰ ꜰᴀᴍᴏᴜꜱ ᴀᴍᴀᴢᴏɴ Qᴜᴇꜱᴛɪᴏɴ ꜰᴏʀ ꜱᴅᴇ1 ʀᴏʟᴇ ɪɴ ᴜꜱ ᴀɴᴅ ᴀʟꜱᴏ ᴀꜱᴋᴇᴅ ʙʏ ᴅɪʀᴇᴄᴛᴏʀ ᴏꜰ ᴡᴏʟʟꜰɪꜱʜ ᴘʀɪᴠᴀᴛᴇ ʟɪᴍɪᴛᴇᴅ 💻 🎯 🚀

It is a clone of popular game Candy Crush implemented using C++ and SDL

A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.