Repository of best practices for deep learning in Julia
"Distributions" that might not add to one.
A Julia framework for implementing FFTs
Julia wrapper for the Voyager data exploration tool
Benchmarks for scientific machine learning (SciML) software
Traits for julia: dispatch on whatever you want using where syntax
Deep neural networks for density functional theory Hamiltonian
Optical Design Software for simulating systems of lenses, prisms, etc.
Types w/ default field values, keyword constructors, (un-)pack macros
C++ libraries and apps for computer graphics and data visualization
Climate science package for Julia
Universal modeling and simulation of fluid mechanics upon ML
LostGrid is a powerful grid system built in PostCSS
3d plotting for Python in the Jupyter notebook
Draw curves, colored 2D maps with CAD capabilities
Semidefinite programming optimization solver
Efficient transducers for Julia
Divide and Conquer Linear Algebra
Smith chart intended for educational use
Cross-platform, scientific graphics plotting library
Missing data visualization module for Python
Fast, general-purpose interactive applications for complex systems