1.Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
+91 stars
from 1,208 · score 4.52
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2.skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
+71 stars
from 1,473 · score 4.28
3.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
+36 stars
from 2,963 · score 3.61
4.AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
+28 stars
from 1,876 · score 3.37
5.benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
+21 stars
from 2,458 · score 3.09
6.AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
+13 stars
from 1,521 · score 2.64
7.benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
+9 stars
from 1,044 · score 2.30
8.ikki407 / stacking
Stacked Generalization (Ensemble Learning)
+1 stars
from 228 · score 0.69