Max G's repositories
maxima-docker
Dockerfile for maxima + LaTeX projects
alpine-sbcl
Bootstrap build for SBCL in Alpine Linux, since it's not available for older Alpine versions
language-maxima
Maxima language package for Atom.io
maxima-clone
Maxima (http://maxima.sourceforge.net/) mirrored with https://github.com/TransitiveDependencyDownstreams/Vendored
octave-docker
Docker images for Octave, built against Debian and (soon) Alpine Linux
jgoldfar.github.io
Home on the web for jgoldfar, generated by Hugo (https://gohugo.io/)
cmstest-base-docker
Base image for tests run against a docs + code repo
conda-docker
repository of docker images
django_save_logger
A Django utility for archiving database writes and deletes.
FlipperZero-Setup
Setup instructions and tracking for upstream (firmware) updates
go
The Go programming language
hangups_cli
Command line interface for hangups by tdryer
jenkins
Jenkins Continuous Integration Server
julia
The Julia Language: A fresh approach to technical computing.
lean4
Lean 4 programming language and theorem prover (mirror)
miniconda3-latex-docker
Docker image for Miniconda3 + a minimal LaTeX distribution
mirror-octopus-repo
Script to keep my Octopus mirror up-to-date, deprecated by https://github.com/TransitiveDependencyDownstreams/Vendored
octave-builder
Validation for MacOS Build, GNU Octave (https://www.gnu.org/software/octave/)
octave-pde1d-docker
Docker builder for Octave + PDE1D
SPSBase.jl
Base functionality for the solution of a version of the scheduling problem
SPSInterface.jl
Provides a high-level interface to tools for efficient work scheduling
SPSRunner.jl
Scheduling problem solver using JuMP and Couenne/Bonmin
stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
WeightedNorms.jl
Define weighted Euclidean norms over datasets