frankschae Goto Github PK
Type: User
Company: Massachusetts Institute of Technology
Location: Cambridge, MA
Blog: frankschae.github.io
Type: User
Company: Massachusetts Institute of Technology
Location: Cambridge, MA
Blog: frankschae.github.io
An abstract interface for automatic differentiation.
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.
The lightweight Base library for shared types and functionality.
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Benchmarking, testing, and development tools for differential equations
Documentation for the DiffEq ecosystem
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
GPU-acceleration routines for DifferentialEquations.jl
A library of noise processes for stochastic systems
A library of premade problems for examples and testing
A Review of Sensitivity Methods for Differential Equations
A component of the DiffEq ecosystem for sensitivity analysis
Third DigiWell Julia Seminar with AMOC, Nov. 2 2023
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
webpage and blog
The Julia Language: A fresh approach to technical computing.
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Automatic probabilistic programming for scientific machine learning and dynamical models
Machine Learning Engineering Open Book
A modeling framework for automatically parallelized scientific computing in Julia
High-performance and differentiation-enabled nonlinear solvers
DiffEq solvers for ordinary differential equations
Speed at all costs
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
The Base interface of the SciML ecosystem
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
DiffEq solvers for stochastic differential equations
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.