BeautifulAlgorithms.jl
RegressionTables.jl
BeautifulAlgorithms.jl | RegressionTables.jl | |
---|---|---|
3 | 1 | |
1,308 | 130 | |
- | - | |
4.1 | 8.6 | |
5 months ago | about 2 months ago | |
Julia | Julia | |
- | MIT License |
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BeautifulAlgorithms.jl
- Concise and beautiful algorithms written in Julia
-
I’m trying to find a short document I can share to convince my team of scientific C++ programmers to give Julia a try. Any suggestions?
https://github.com/mossr/BeautifulAlgorithms.jl might convince them
RegressionTables.jl
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Convenient way to use latexify on GLM output?
Here is one: https://github.com/jmboehm/RegressionTables.jl
What are some alternatives?
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
ScottishTaxBenefitModel.jl - A tax-benefit model for Scotland
Coluna.jl - Branch-and-Price-and-Cut in Julia
GLM.jl - Generalized linear models in Julia
Matches.jl - Simple ML package that computes gradients without backpropagation
MLJ.jl - A Julia machine learning framework
EvoTrees.jl - Boosted trees in Julia
ARCHModels.jl - A Julia package for estimating ARMA-GARCH models.
FluxTraining.jl - A flexible neural net training library inspired by fast.ai
JuliaComputation - Repository for Common Ground C25
StatsWithJuliaBook
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations