1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+988 stars
from 14,019 · score 6.90
Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
12 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
2.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
- automl
- machine-learning
- data-science
- deep-learning
- ensemble-learning
- computer-vision
- +14 more
+588 stars
from 10,223 · score 6.38
3.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
- nbeatsx
- time-series
- +14 more
+225 stars
from 4,081 · score 5.42
4.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
- +14 more
+212 stars
from 4,747 · score 5.36
5.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
+141 stars
from 9,718 · score 4.96
6.automl / auto-sklearn
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- +4 more
+97 stars
from 8,052 · score 4.58
7.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
+97 stars
from 7,423 · score 4.58
8.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
+85 stars
from 14,281 · score 4.45
9.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+65 stars
from 9,275 · score 4.19
+64 stars
from 7,536 · score 4.17
11.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
+58 stars
from 10,001 · score 4.08
12.polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
+50 stars
from 3,697 · score 3.93