dae

The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.

eBPF-based Linux high-performance transparent proxy solution.

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.

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

Android OpenGL 2.0 application to view 3D models. Published on Play Store

Chnroutes rules for routers、Shadowrocket、Quantumult、acl、v2rayNG、v2rayN、pac、v2rayA、dae、RouterOS、v2ray、sing-box config file.

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

daed, a modern dashboard with dae.

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

Tensorflow implementation of variational auto-encoder for MNIST

Pytorch implementation of BERT4Rec and Netflix VAE.

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.

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

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

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

A WebGL based BIM viewer, built on three.js and Vue. Used to view gltf, ifc, obj, dae, stl models, etc.

Examples and demos for gemini-viewer sdk, which is a WebGL based BIM model viewer, built on three.js. It is used to view dwg/dxf, gltf, obj, ifc models, etc.

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

Flightradar24 3D models