prbzrg Goto Github PK
Name: Hossein Pourbozorg
Type: User
Location: Qaem Shahr, Iran
Blog: https://www.researchgate.net/profile/Hossein-Pourbozorg
Name: Hossein Pourbozorg
Type: User
Location: Qaem Shahr, Iran
Blog: https://www.researchgate.net/profile/Hossein-Pourbozorg
An abstract interface for automatic differentiation.
Repository for SciML AD backend types
AllocCheck
Awesome resources on normalizing flows.
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
A Julia package for probability distributions and associated functions.
Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff
Organization-wide .github actions and other metadata
EC-Class-HW1-GA
Julia bindings for the Enzyme automatic differentiator
The Julia Programming Language
Explicitly Parameterized Neural Networks in Julia
Intel MKL linear algebra backend for Julia
MNIST-Recognition
NN-Class-HW1-MLP
NN-Class-HW2-HopfieldNetwork
Local, global, and beyond optimization for scientific machine learning (SciML)
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Reduce time-to-first-execution of Julia code
Reverse Mode Automatic Differentiation for Julia
The Base interface of the SciML ecosystem
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
Julia library for working with sinograms / tomography / Radon transform
Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
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.