Stars
Automatic differentiation of implicit functions
Goldfarb and Idnani quadratic programming solver
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.
Propagate waves efficiently, optically, physically, differentiably with Julia Lang.
This package provides functionality to define and evaluate B-spline and NURBS (non-uniform rational B-spline) basis functions, their derivatives, as well as curves and surfaces based on both consid…
Checkpointing for Automatic Differentiation
A package includes various time-domain numerical solvers for the Maxwell's equations.
Repository of best practices for deep learning in Julia, inspired by fastai
A one-hour talk about Julia as the future of scientific computing
Julia Package for skew-symmetric matrices
Rapid, accurate calculation of rough metal surface impedance and effective conductivity in the Julia programming language
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Basic (+chebyshev) interpolation recipes in Julia
Rigorous Coupled-Wave Analysis (RCWA) for nanophotonics simulations
A package for simulation of physical optics. Physical optics is more general than ray optics but not as general as full electrodynamics.
Tools for working with Fourier space.
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
Julia implementation of the global complex root and pole finding (GRPF) algorithm.
fast multidimensional Chebyshev interpolation and regression in Julia
Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks
A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.
A Julia Basket of Hand-Picked Krylov Methods