NASA/JPL SPICE Toolkit for C – patched for cross-platform compatibility
- astronomy
- astronomical-algorithms
- celestial-mechanics
- nasa
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NASA/JPL SPICE Toolkit for C – patched for cross-platform compatibility
Partial Commutative Monoids
Multi-platform quantum programming library, written in TypeScript, good for JS/NodeJS
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
3D shape analysis using deep learning
A metaheuristic optimization framework
Some useful additons for makepkg for archlinux
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
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.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
Translated🗺️ Research Data Map — AI-driven global research visualization platform | Research Data Map with 250M+ papers
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.
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V
This is a class module in beta state to implement computations with large integers and reals/rationals numbers, while proposing representation of numerical values as scientific notation, allowing to obtain several cohorts for the same number (a lot of fun!).
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies
legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm
GNN-based gene-selection deep learning model for drug response prediction