1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+433 stars
from 14,573 · score 6.07
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
26 repositories by Attention Score · Aug 7, 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
+258 stars
from 10,550 · score 5.56
3.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
- +14 more
+119 stars
from 4,842 · score 4.79
4.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
- nbeatsx
- time-series
- +14 more
+93 stars
from 4,216 · score 4.54
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
+51 stars
from 9,807 · score 3.95
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
+50 stars
from 7,471 · score 3.93
7.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
8.polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
+33 stars
from 3,715 · score 3.53
9.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
+30 stars
from 10,029 · score 3.43
10.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+30 stars
from 9,311 · score 3.43
11.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- configuration
- +5 more
+30 stars
from 1,238 · score 3.43
12.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
+24 stars
from 14,340 · score 3.22
13.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
+21 stars
from 3,225 · score 3.09
+18 stars
from 7,582 · score 2.94
15.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
- bayesopt
- optimization
- scientific-computing
- machine-learning
- hyperparameter
- bayesian-optimization
- +9 more
+7 stars
from 2,824 · score 2.08
16.automl / Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
+6 stars
from 2,535 · score 1.95
17.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
+5 stars
from 1,139 · score 1.79
18.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
19.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
+4 stars
from 484 · score 1.61
20.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
+4 stars
from 387 · score 1.61
21.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+3 stars
from 2,171 · score 1.39
22.mlr-org / mlr
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
- r-package
- predictive-modeling
- +14 more
+3 stars
from 1,683 · score 1.39
23.hyperopt / hyperopt-sklearn
Hyper-parameter optimization for sklearn
+3 stars
from 1,646 · score 1.39
24.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
+3 stars
from 279 · score 1.39
25.AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
- stacking
- pipeline
- +14 more
+1 stars
from 1,533 · score 0.69
26.rsteca / sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
+1 stars
from 771 · score 0.69