stefanradev93 Goto Github PK
Name: Stefan Radev
Type: User
Company: Rensselaer Polytechnic Institute (RPI)
Bio: Statistics, deep learning, and computational philosophy aficionado.
Location: Troy, NY, USA
Blog: www.bayesflow.org
Name: Stefan Radev
Type: User
Company: Rensselaer Polytechnic Institute (RPI)
Bio: Statistics, deep learning, and computational philosophy aficionado.
Location: Troy, NY, USA
Blog: www.bayesflow.org
Contains the code for reproducing the results and figures from the paper "Model-based Bayesian inference of disease outbreaks with invertible neural networks"
This repository contains the code for our final project for the lecture "Advanced Machine Learning" at Heidelberg University.
Community-sourced list of papers and resources on neural simulation-based inference.
Contains code for estimation of epidemiology models
A Python library for amortized Bayesian workflows using generative neural networks.
Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"
Contains modeling code for a computational model of emotion recognition in ASD
Contains the scripts, pre-trained networks, and data for our paper:
Contains the code for fitting the Dynamic Bayesian Network (DBN) to Wisconsin Card Sorting Task (WCST) data.
A python-based graphical user interface for Windows users of fast-dm - a diffusion model analysis tool.
International Bartenders Association (IBA) Official Cocktails in machine readable format
Notebooks and code for the book "Introduction to Machine Learning with Python"
Contains the code for the Software Engineering lecture, winter term 2019/2020.
Contains the code for our attention-based seq2seq and classifier models, as well as the preliminary Django-UI.
Contains the checkpoint for the networks used in the BayesFlow tutorial "Principled Bayesian workflow for cognitive models"
A basic lie-detection experiment
A collection of machine learning examples and tutorials.
Contains the code for our Machine Learning Project.
distributed, likelihood-free inference
A nice effect of a star-laden sky built with python and pygame.
Simple Reinforcement learning tutorials
The Siri wave replicated in a JS library.
This is the code for 'How to Make a Simple Tensorflow Speech Recognizer' by @Sirajology on Youtube
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.