rozsasarpi Goto Github PK
Name: Árpád Rózsás
Type: User
Bio: Researcher, Data Scientist, Engineer
Location: Rome, Italy
Blog: rozsasarpi.github.io
Name: Árpád Rózsás
Type: User
Bio: Researcher, Data Scientist, Engineer
Location: Rome, Italy
Blog: rozsasarpi.github.io
Declarative statistical visualization library for Python
matplotlib backend test
Interactive explanation of the Barnes-Hut approximation.
Reliability-based code calibration for steel structures considering ultimate limit states - Belarus, Eurocode
This repo contains some R learning activities we created for our the course I for the ColumbiaX series on Data Science and Analytics on edX.
Construction stage analysis minimal example using Ansys APDL
A Julia package for probability distributions and associated functions.
Dynamic load analysis in Ansys
The effect of copulas on time-variant reliability involving time-continuous stochastic processes
Trigger a GitHub Action with an event external to GitHub.
A clean customizable documentation theme for Sphinx
An implementation of the Goodman & Weare MCMC sampler for matlab
Template, simple example for generating Moodle cloze questions using R's exams package
Online, interactive homeworks with shiny: generation, submission, evaluation and feedback detailed solution
Component base class to make it easy to integrate d3 into Idyll projects
Interactive snow map for the Carpathian region - with structural engineering focus
Create an IVR phone tree with Python and Twilio.
Language Savant. If your repository's language is being reported incorrectly, send us a pull request!
Research - inverstigation of the lognormal assumption for fragility curves considering meteorological actions
Python implementation of the conformal prediction framework.
Run Ansys in parallel batch mode from Matlab
:snake: :arrow_right: :scroll: Auto-generate API documentation for Python projects
A repository and website dedicated to the artwork of Fernanda Raspi. :art:
initial commit
Probabilistic models for various physical properties (civil engineering)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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.