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Name: Ramesh Paudel
Type: User
Company: George Washington University
Bio: Research Scientist
Location: Washington, DC
Name: Ramesh Paudel
Type: User
Company: George Washington University
Bio: Research Scientist
Location: Washington, DC
Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Code and hyperparameters for the paper "Generative Adversarial Networks"
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Change detection test on streams of attributed graphs.
Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes
Code repository supporting the medium blog
The code and datasets for the IEEE Big Data 2016 paper entitled - " Deep Topology Classification: A New Approach for Massive Graph Classification"
Discriminative Subgraph-based Drift Detector in Graph Stream
Implementation of Graph Convolutional Networks in TensorFlow
git/github guide: Karl's minimal tutorial
Prediction of job apply rate for user visiting glassdoor using several machine learning techniques. We achieved the precision of 87% using logistic regression.
A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
Detecting Concept Drift in Classification Over Streaming Graphs
Predict highest growth customer
Anomaly Detection in Graph Stream
Anomaly Detection in Network Traffic of IOT Devices
This is the code associated to the 2015 submission to JSTSP
Karl Broman's website
LINKCUBE: A Tool for Anomaly Detection in Social Network using GBAD
LSTM, GRU cell implementation from scratch in tensorflow
PIKACHU: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection
Pattern Learning and Anomaly Detection in Streams
Semi-supervised learning with graph embeddings
NYC Taxi Trip Profit Maximization
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.