1.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+20 stars
from 14,986 · score 3.04
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
18 repositories by Attention Score · Oct 29, 2026 – Nov 4, 2026 (UTC)
2.ant-research / AntOmniEvo
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
- evolutionary-algorithms
- rsi-ai
- self-improvement
- llm-agent
- multi-agent
- automation
- +6 more
+12 stars
from 1,212 · score 2.56
3.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
- nbeatsx
- time-series
- +14 more
+10 stars
from 4,299 · score 2.40
4.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
- automl
- machine-learning
- data-science
- deep-learning
- ensemble-learning
- computer-vision
- +14 more
+8 stars
from 10,800 · score 2.20
5.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
- +14 more
+7 stars
from 4,954 · score 2.08
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
+5 stars
from 7,516 · score 1.79
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
+4 stars
from 10,055 · score 1.61
8.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- configuration
- +5 more
+4 stars
from 1,264 · score 1.61
9.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+3 stars
from 9,338 · score 1.39
+3 stars
from 7,597 · score 1.39
11.polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
+2 stars
from 3,746 · score 1.10
12.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
+2 stars
from 3,244 · score 1.10
13.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+2 stars
from 2,172 · score 1.10
14.automl / auto-sklearn
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- +4 more
+1 stars
from 8,148 · score 0.69
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
+1 stars
from 2,830 · score 0.69
16.hyperopt / hyperopt-sklearn
Hyper-parameter optimization for sklearn
+1 stars
from 1,648 · score 0.69
17.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
+1 stars
from 487 · score 0.69
18.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
+1 stars
from 390 · score 0.69