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Name: Cogito Ergo Sum
Type: User
Company: Xanadu
Bio: Standard Galactic Alphabet
Twitter: galactromeda
Location: Canada
Home of the Standard Galactic Alphabet
Try the Galactic Translator
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers
Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Differential equation problem specifications and scientific machine learning for common financial models
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 and the broader SciML scientific machine learning ecosystem
Saving and loading of JuliaDiffEq types for I/O of scientific machine learning (SciML)
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)
Monte Carlo simulation routines for high-performance parallelization of differential equation solvers and scientific machine learning
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
It's Angular2 business in the front, and a Julia party in the back! It's scientific machine learning (SciML) for the web
Backend for DiffEqOnline, a webapp for scientific machine learning (SciML)
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
A helper repository for diffeqpy to enable high-performance differential equation solving scientific machine learning (SciML) in Python
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
Uncertainty quantification for scientific machine learning (SciML) and differential equations
A difference list implementation for Julia. These are a highly efficient and simple way to build up lists from parts: appending, prepending, and concatenation are all very fast (constant time). They're also immutable, so you can reuse the parts.
Jupyter notebooks on differential equations and how to solve them using Python.
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
A package for solving Differential Dynamic Programming and trajectory optimization problems.
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.