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Pytorch implementation of BERT4Rec and Netflix VAE.
Tensorflow implementation of variational auto-encoder for MNIST
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, SDEs, DDEs, DAEs, etc.
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
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The Base interface of the SciML ecosystem
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
The SciML Scientific Machine Learning Software Organization Website
