GLM.jl
generalized-additive-models
GLM.jl | generalized-additive-models | |
---|---|---|
2 | 1 | |
574 | 13 | |
1.2% | - | |
5.0 | 7.0 | |
26 days ago | 3 months ago | |
Julia | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
GLM.jl
-
What is the Julia equivalent of Scikit-Learn?
Most things are broken up into different packages. For example: GLMs are here https://github.com/JuliaStats/GLM.jl
-
Need help writing these two functions in Julia
You can use https://github.com/JuliaStats/GLM.jl
generalized-additive-models
What are some alternatives?
MLJ.jl - A Julia machine learning framework
pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
DSGE.jl - Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
pyhf - pure-Python HistFactory implementation with tensors and autodiff
RegressionTables.jl - Journal-style regression tables
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
ARCHModels.jl - A Julia package for estimating ARMA-GARCH models.
scikit-learn - scikit-learn: machine learning in Python
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
statsmodels - Statsmodels: statistical modeling and econometrics in Python
MixedModels.jl - A Julia package for fitting (statistical) mixed-effects models
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.