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Name: Sebastian Micluța-Câmpeanu
Type: User
Company: @JuliaComputing
Bio: Theoretical and Computational physicist
Location: Bucharest, Romania
Name: Sebastian Micluța-Câmpeanu
Type: User
Company: @JuliaComputing
Bio: Theoretical and Computational physicist
Location: Bucharest, Romania
Julia Library for Interatomic Potentials
Documentation for the Juno IDE
A common interface for different laser types
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading
Explicitly Parameterized Neural Networks in Julia
LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely of Lux.jl without having such a heavy dependency.
A hackable Lyapunov exponents calculator
My Master Thesis
An acausal 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
A standard library of components to model the world and beyond
OpenGL 3+ bindings for Julia
A system for assigning and grading notebooks
A simulator for N-body problems, including astrophysical and molecular dynamics
A parallel fork of node-pty providing prebuilt packages for Node.js and Electron.
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Codes for articles analyzing the chaotic dynamics of nuclear surface vibrations
Basic numerical integration routines for presampled data.
Local, global, and beyond optimization for scientific machine learning (SciML)
DiffEq solvers for ordinary differential equations
Various utilities for analyzing PIC simulations
Data structures for Particle-in-Cell codes
Cite Julia packages in your papers the easy way
An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
Random matrices package for Julia
Tools for easily handling objects like arrays of arrays and deeper nestings
Continuous integration (CI) for Julia package registries. Includes automated testing and automatic merging of pull requests.
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.