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Complex Network course - 2020
Vorlesung Computer-Physik, Universität zu Köln, Sommer 2020
Material for my course of Computational Physics (3rd semester, obligatory), in National and Kapodistrian University of Athens
An agent-based computational economy with macroeconomic equilibria from microeconomic behaviors
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Machine learning-Stanford University
A toolkit for the quantum and classical Dicke model in Julia.
Fork from Sosanya's GitHub of our code for "Dissipative HNNs"
Data analysis for the paper "Distributed quantum sensing in a continuous-variable entangled network"
Tutorial for the Taipei Density Matrix Renormalization Group School
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Basics on Exact Diagonalization
A toolkit for experimenting with novel heuristic algorithms to minor embed QUBO graphs for quantum annealing
Entanglement Feature Learning
Lockdown Management with Quantum Annealers
Application of genetic algorithm to quantum computing.
Factor numbers using a quantum computer.
Quantum Machine Learning for FinTech and Time Series Data
A numerical model of fractal dynamics
CACSC19 Capstone Project-1
A python tool to visualise game animations
Numerical toolbox in Python for Gaussian Quantum Information and time evolution of gaussian states through quantum Langevin and Lyapunov equations
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
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.