mitmath Goto Github PK
Name: MITMath
Type: Organization
Bio: educational materials for MIT math courses
Name: MITMath
Type: Organization
Bio: educational materials for MIT math courses
Parallel signed distance field (SDF) computation in Julia.
Julia code for MIT 18.337 course's final project.
Fast Cahn Hilliard simulations in Custom Geometries using the Smoothed Boundary Method
Temporary template structure for development and structuring of the term project in 18.337
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Stochastic Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
My final project for MIT course 18.337 (Parallel Computing and Scientific Machine Learning)
18.369/8.315 - Mathematical Methods in Nanophotonics course
18.S096 three-week course at MIT
18.S096 - Applications of Scientific Machine Learning
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Binder environments for MIT math courses
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Tutorials and information on the Julia language for MIT numerical-computation courses.
Repository for Common Ground C25
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
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.