seeingall2022 Goto Github PK
Type: User
Type: User
3D Environment Design with Blender, published by Packt
Application Development with Qt Creator – Third Edition, published by Packt
:atom: The hackable text editor
A curated list of awesome JupyterLab extensions and resources
A curated list of awesome mathematics resources
Awesome Mechanical Engineering Resources
Blender 3D By Example Second Edition, published by Packt
Contains code of the book "Introduction to Programming with C++ for Engineers" by prof. Bogusław Cyganek, Wiley-IEEE, 2020
Building Data Science Solutions with Anaconda, published by Packt
Building-Real-world-Web-Applications-with-Vue.js-3 published by Packt
CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Computed Tomography to Finite Elements
CMake Best Practices, by Packt Publishing
Coupled Rigid-Block Analysis: Stability-Aware Design of Complex Discrete-Element Assemblies
Computer Architecture with Python and ARM, published by Packt.
Calculate section properties for reinforced concrete sections.
A system-level, binary package and environment manager running on all major operating systems and platforms.
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
C++ Game Animation Programming - Second Edition, published by Packt
Data Apps & Dashboards for Python. No JavaScript Required.
The development repository for the deal.II finite element library.
Resources for the book "Finite Difference Computing with Exponential Decay Models" by H. P. Langtangen
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Research prototyping framework for physics simulation written in C++
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.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Effective TypeScript 2nd Edition: 83 Specific Ways to Improve Your TypeScript
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.