sde

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

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

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.

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

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

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

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

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.