Multidimensional array similar to NumPy and NArray
- matrix
- linear-algebra
- colt
- ruby
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Multidimensional array similar to NumPy and NArray
NASA/JPL SPICE Toolkit for C – patched for cross-platform compatibility
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
A metaheuristic optimization framework
tiny linear interpolation library for go
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Some useful additons for makepkg for archlinux
Decimal handling as value object instead of plain strings or floats.
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Workbench for practical machine learning in Ruby.
Lisp Linear Algebra
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
Bresenham's line algorithm written in Lua.
Quartz - A Crystal Modeling & Simulation framework
Realtime Weather and Earthquake alerts in Neovim
AS3 Linear Algebra library
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.
A collection of matrix handling scripts
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V
A common interface used for modeling Mathematical Programs (e.g., Convex Optimization problems) in the language Go (Golang).
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.