1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+440 stars
from 14,567 · score 6.09
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2.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
- automl
- machine-learning
- data-science
- deep-learning
- ensemble-learning
- computer-vision
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3.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
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+118 stars
from 4,841 · score 4.78
4.pycaret / pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
- ml
- regression
- +9 more
+55 stars
from 9,804 · score 4.03
5.h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
- h2o
- machine-learning
- data-science
- deep-learning
- big-data
- ensemble-learning
- +14 more
+49 stars
from 7,471 · score 3.91
6.automl / auto-sklearn
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- +4 more
+39 stars
from 8,110 · score 3.69
7.EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
- automation
- scikit-learn
- +14 more
+31 stars
from 10,028 · score 3.47
8.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+29 stars
from 9,311 · score 3.40
9.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- automl
- deep-learning
- neural-architecture-search
- hyperparameter-optimization
- distributed
- bayesian-optimization
- +14 more
+27 stars
from 14,339 · score 3.33
+18 stars
from 7,582 · score 2.94