RegressionTables.jl
BeautifulAlgorithms.jl
| RegressionTables.jl | BeautifulAlgorithms.jl | |
|---|---|---|
| 1 | 3 | |
| 130 | 1,308 | |
| - | - | |
| 8.6 | 4.1 | |
| about 1 month ago | 5 months ago | |
| Julia | Julia | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RegressionTables.jl
-
Convenient way to use latexify on GLM output?
Here is one: https://github.com/jmboehm/RegressionTables.jl
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
What are some alternatives?
ScottishTaxBenefitModel.jl - A tax-benefit model for Scotland
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
GLM.jl - Generalized linear models in Julia
Coluna.jl - Branch-and-Price-and-Cut in Julia
MLJ.jl - A Julia machine learning framework
Matches.jl - Simple ML package that computes gradients without backpropagation
ARCHModels.jl - A Julia package for estimating ARMA-GARCH models.
EvoTrees.jl - Boosted trees in Julia
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