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directed-graph-neural-network
Dir-GNN is a machine learning model that enables learning on directed graphs.structured-neural-summarization-replication
Replication of the paper "Structured Neural Summarization" which uses Graph Neural Networks and Seq2Seq models to summarize natural language and source code.ncRNA-family-prediction
Code for the paper ncRNA Classification with Graph Convolutional Networks by E. Rossi et. al.gp-vs-cnn-uncertainty
Convolutional neural networks (CNNs) achieve state-of-the-art performance on image classification tasks, but provide no (appropriate) measure of confidence in their predictions. We show how it is possible to use Gaussian Processes on image embeddings generated by a CNN to improve variance estimation in prediction.query-similarity-detection
A prototype (and related experiments) of a query similarity detection framework, specific for OPAL queries.Data-Structures-and-Algorithms
A C++ library containing many Data Structures and Algorithms written without using STL classes.YouNews
Real-time notification system for tracking references to people in news articlesCms-Downloader
CMS-Downloader is a web app which allows you to easily download all your submissions on the Italian training platform for IOI (International Olympiads in Informatics).Love Open Source and this site? Check out how you can help us