sde topic

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

Devansh-Maurya

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

mschauer

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

planelles20

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...

SciML

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...

SciML

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

DLR-RM

This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.

Kaustubh-Natuskar

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

SciML

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

Stable-Baselines-Team

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, S...

SciML