furkangursoy Goto Github PK
Name: Furkan Gursoy
Type: User
Bio: Researcher/Data Scientist concentrating on network science and data science.
Twitter: furkangursoy34
Location: Istanbul
Name: Furkan Gursoy
Type: User
Bio: Researcher/Data Scientist concentrating on network science and data science.
Twitter: furkangursoy34
Location: Istanbul
Sparsify networks using various methods. Original version is available at http://www.michelecoscia.com/?page_id=287
Source code and datasets for "A Community-aware Network Growth Model for Synthetic Social Network Generation"
Aligning embeddings and measuring alignment and stability errors
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Sample frontier analysis code and a dummy dataset. The purpose is to learn target value from the best observations rather than average (i.e., all) observations.
The GHtorrent project website
Package for "pruning" weighted complex networks based on the Marginal Likelihood Filter.
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Material for the paper titled "Influence maximization in social networks under Deterministic Linear Threshold Model"
The Partitioning Around Medoids (PAM) implementation of K-Medoids algorithm in Python.
KMO and Bartlett Tests in Python
Investigating internal migration with network analysis and latent space representations: An application to Turkey
MIS 331 - Data Mining Lab and PS materials
MIS 542 - Data Mining Concepts and Techniques, Fall'18
A Python module for a robust classification of salient links in complex networks (Grady et al. 2012)
Source code and replication steps for "Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks"
Extracting the signed backbone of intrinsically dense weighted networks.
Official repository for the team "FinNet Folks" at the CNWW 2021 (https://vermontcomplexsystems.org/events/cnww/)
A quicker, cleaner way to get started blogging with Hydejack.
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.