1.Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
+44 stars
from 1,255 · score 3.81
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2.skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
+23 stars
from 1,521 · score 3.18
3.AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
+13 stars
from 1,891 · score 2.64
4.BayesWitnesses / m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
+12 stars
from 2,987 · score 2.56
5.benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
+9 stars
from 2,470 · score 2.30
6.benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
+5 stars
from 1,048 · score 1.79
7.AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
+2 stars
from 1,532 · score 1.10