Repository Index

Native Haxe functions for graphical linear algebra (à la GLM: https://github.com/g-truc/glm/tree/master/glm)

A Julia GraphQL client for seamless integration with a server

Graph Theory [maintainers=@chdoc,@damien-pous]

• coq
• graph-theory
• mathcomp
• docker-coq-action

💬 Trace citation chains for any concept across research papers and render them as an interactive graph.

• academic-research
• bibliography
• citation-graph
• cli

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network

PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"

Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.

• astrophotography
• astronomy
• ephem
• flask

Coq formalization of algorithms due to Tarjan and Kosaraju for finding strongly connected graph components using Mathematical Components and SSReflect [maintainers=@CohenCyril,@palmskog]

• coq
• mathcomp
• ssreflect
• tarjan-algorithm

DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.

Astronomical FITS image analysis tool for detecting asteroids, comets, satellites, moving objects, and transients in astrophotography data.

• astronomy
• astronomy-software
• astrophotography
• moving-object-detection

Histology Topography Cytometry Analysis Toolbox

Caustic Elixir Cryptocurrency Library (Bitcoin, Ethereum, etc.) with extensive cryptography and number theory library

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.