dannys4 Goto Github PK
Name: Daniel
Type: User
Bio: Computational science graduate student at MIT in the Uncertainty Quantification group.
Blog: dsharp.dev
Name: Daniel
Type: User
Bio: Computational science graduate student at MIT in the Uncertainty Quantification group.
Blog: dsharp.dev
18.335 - Introduction to Numerical Methods course
Binary Dependency Builder for Julia
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
A registry for personal packages
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
UQGroup Reading Group 10/21/2021
Simple implementation of DistMesh algorithm allowing to generate meshes on 2D plane.
A documentation generator for Julia.
My website!
Research into accelerated FFTs
JuliaCon 2021 Hackathon
The official registry of general Julia packages
Accompanying codebase for Multilinear Alternative to POD: Notes on the HOSVD
Fast, continuous interpolation of discrete datasets in Julia
Beta homebrew numerical linear algebra library
Julia MathML parser
Computational geometry and meshing algorithms in Julia
A 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
Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.
A conda-smithy repository for mpart.
Speed tests for MParT
A framework for the solution of Multi-resolution Hybridized Differential Equations (MrHyDE)
A Julia package for creating multivariate expansions
A clean Zola theme for blogging and projects.
An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.
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.