1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+980 stars
from 14,026 · score 6.89
Trending repositories
Ranked by Attention Score: stars gained over the last 180 complete days
26 repositories by Attention Score · May 9, 2026 – Nov 4, 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
+584 stars
from 10,224 · score 6.37
3.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
- nbeatsx
- time-series
- +14 more
+225 stars
from 4,084 · 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 4,749 · 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
+138 stars
from 9,720 · score 4.93
6.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
+98 stars
from 7,423 · score 4.60
7.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
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
+82 stars
from 14,282 · score 4.42
9.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+66 stars
from 9,275 · score 4.20
+63 stars
from 7,537 · score 4.16
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
+51 stars
from 3,697 · score 3.95
13.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- configuration
- +5 more
+50 stars
from 1,218 · score 3.93
14.determined-ai / determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
- deep-learning
- machine-learning
- ml-platform
- ml-infrastructure
- hyperparameter-optimization
- hyperparameter-search
- +8 more
+37 stars
from 3,209 · score 3.64
15.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
- python
- scikit-learn
- machine-learning
- artificial-intelligence
- model-selection
- hyperparameter-optimization
- +9 more
+37 stars
from 354 · score 3.64
16.automl / Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
+21 stars
from 2,520 · score 3.09
17.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
- bayesopt
- optimization
- scientific-computing
- machine-learning
- hyperparameter
- bayesian-optimization
- +9 more
+18 stars
from 2,813 · score 2.94
18.mlr-org / mlr
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
- r-package
- predictive-modeling
- +14 more
+14 stars
from 1,672 · score 2.71
19.AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
- stacking
- pipeline
- +14 more
+13 stars
from 1,521 · score 2.64
20.THUMNLab / AutoGL
An autoML framework & toolkit for machine learning on graphs.
- graph-neural-networks
- automl
- pytorch
- pytorch-geometric
- hyper-parameter-optimization
- machine-learning
- +2 more
+11 stars
from 1,133 · score 2.48
21.hyperopt / hyperopt-sklearn
Hyper-parameter optimization for sklearn
+9 stars
from 1,640 · score 2.30
22.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
+7 stars
from 275 · score 2.08
23.microsoft / archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- python
- pytorch
- machine-learning
- deep-learning
- neural-architecture-search
- nas
- +6 more
+5 stars
from 483 · score 1.79
24.autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
- artificial-intelligence
- tensorflow
+4 stars
from 1,631 · score 1.61
25.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+3 stars
from 2,171 · score 1.39
26.rsteca / sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
+2 stars
from 770 · score 1.10