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.

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

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.

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

daed, a modern dashboard with dae.

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.

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

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

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.

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

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.

Flightradar24 3D models