Dlang Core Library
- ndslice
- iterator
- range
- algorithms
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Dlang Core Library
Go package for calculating the sunrise and sunset times for a given location
The V Tensor Library
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Date and time manipulation for modern Fortran
Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)
:spider_web: Compute interesting points, areas, and volumes in simplex meshes of any dimension.
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
Research experiments exploring uncommon quant techniques.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
SIMD powered simple-math numerical operations on arrays for Common Lisp through CFFI [still experimental]
Common Lisp package for simple two dimensional computational geometry.
Working with time-dependent networks in Julia
Prime numbers for Coq
Multidimensional array similar to NumPy and NArray
A Swift Playground visualizing gravity based on Einstein's Theory of General Relativity
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.
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Crystal implementation of "K-Dimensional Tree" and "N-Nearest Neighbors"
Realtime Weather and Earthquake alerts in Neovim
A flexible Julia toolkit for high-dimensional cellular profiles
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.