The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
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Updated
Feb 22, 2023 - C++
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
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.
Android OpenGL 2.0 application to view 3D models. Published on Play Store
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
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Tensorflow implementation of variational auto-encoder for MNIST
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Benchmarks for scientific machine learning (SciML) software, scientific AI, and (differential) equation solvers
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.
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Android app to load 3D models in obj, stl, dae & gltf format using pure OpenGL ES 2.0. Published on Play Store https://play.google.com/store/apps/details?id=org.andresoviedo.dddmodel2
Source Code Generation for Automatic Differentiation using Operator Overloading
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
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