karypis's Stars
thunlp/OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
awslabs/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
castorini/anserini
Anserini is a Lucene toolkit for reproducible information retrieval research
Yu-Group/covid19-severity-prediction
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
aws-samples/aws-admartech-samples
Samples and documentation for various advertising and marketing use cases on AWS.
ml874/Data-Science-Cheatsheet
greenelab/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
greenelab/SPRINT_gan
Privacy-preserving generative deep neural networks support clinical data sharing
rn5l/session-rec
Python-based framework for building and evaluating session-based and session-aware recommender systems.
benweet/stackedit
In-browser Markdown editor
IBM/IPC-graph-data
IPC: A Graph Data Set Compiled from International Planning Competitions
mjansson/rpmalloc
Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
google/or-tools
Google's Operations Research tools:
thunlp/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
thunlp/OpenNE
An Open-Source Package for Network Embedding (NE)