An Elixir library for performing 2D and 3D mathematics.
- elixir-lang
- matrices
- vector
- graphics
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An Elixir library for performing 2D and 3D mathematics.
TypeDB Bio: Biomedical Knowledge Graph
The Configurable Math Library
This library generates graph layouts using the TikZ graph layout package.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
An Elixir implementation of the CONREC algorithm for topographic or isochrone maps.
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Working with time-dependent networks in Julia
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]
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
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.
ODE system solver made simple. For IVPs (initial value problems).
Coq formalization of algorithms due to Tarjan and Kosaraju for finding strongly connected graph components using Mathematical Components and SSReflect [maintainers=@CohenCyril,@palmskog]
Astronomical FITS image analysis tool for detecting asteroids, comets, satellites, moving objects, and transients in astrophotography data.
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.
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.