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Name: Gaurav Arya
Type: User
Company: MIT
Location: Cambridge, MA
Name: Gaurav Arya
Type: User
Company: MIT
Location: Cambridge, MA
A Julia framework for implementing FFTs
Experimental port of ADEV to Julia
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
High-performance C++ library for multiphysics and multibody dynamics simulations
The slow descent into madness
CUDA programming in Julia.
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Code for paper https://arxiv.org/abs/2306.07961
Lightweight + fast physical quantities in Julia
High-performance automatic differentiation of LLVM and MLIR.
Julia bindings for the Enzyme automatic differentiator
Julia bindings to the FFTW library for fast Fourier transforms
Experimental features for Flux.jl
Parameterise all the things
matrix-free implicit differentiation + adjoint method
The Julia Programming Language
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.
LinearSolve.jl: High-Performance Unified Linear Solvers
Markdown content for the www.aerobatic.io website
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
"Distributions" that might not add to one.
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.