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abs_biomed_summary

Graph-based abstractive biomedical text summarization published in Journal of Biomedical Informatics AUG 2022

adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

ai4d-msl-app

bert

Reference models and tools for Cloud TPUs.

bert-1

TensorFlow code and pre-trained models for BERT

bff_alg

conflibert

ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence (NAACL 2022)

corememory

covid19hotspotprediction

This repository contains all the related materials for our research article related to predicting COVID-19 hotspots using cyber and real world data.

csm

Source Code for Intra-Graph Clustering using Collaborative Similarity Measure [Paper in DAPD]

faiss

A library for efficient similarity search and clustering of dense vectors.

gscis_tbuds

Graph Summarization SIGKDD 21

icde22-pegasus

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications

karsl

mcbook_individual-collective_graphmining

Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

ms-bfs

Source code for VLDB 2015 paper "The More the Merrier: Efficient Multi-Source Graph Traversal"

multiuseremailcommunity

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

quantumgrn

Quantum Gene Regulatory Networks with Application to Single-cell Data

quran-nlp

Quran, Hadith, Translations, Tafaseer, Corpus Linguistics. Everything for NLP

sdsleepnet

Two-step sleep stage scoring approach based on statistical and frequency properties of EEG signals

searchengine

A simple search engine that runs in a python notebook.

spectralpath

KDD2022 ASpectral Representation of Networks: The Path of Subgraphs by Shengmin Jin

spore

SPORE for Graph Clustering

test

text-summarization-models

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

text_summarization

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization (SDM 21')

treemap

TreeMap for exact distance queries

trt_filter

Thresholding and Regularization Techniques for Image Denoising

ud851-exercises

Mobile App Development Exercises from Udacity course