1.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
+860 stars
from 364 · score 6.76
Trending repositories
Ranked by Attention Score: stars gained over the last 30 complete days
25 repositories by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
2.optuna / optuna
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
- hyperparameter-optimization
+135 stars
from 14,871 · score 4.91
3.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
- automl
- machine-learning
- data-science
- deep-learning
- ensemble-learning
- computer-vision
- +14 more
+56 stars
from 10,752 · score 4.04
4.Nixtla / statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
- econometrics
- machine-learning
- +14 more
+45 stars
from 4,916 · score 3.83
5.Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
- nbeatsx
- time-series
- +14 more
+34 stars
from 4,275 · score 3.56
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
+17 stars
from 7,504 · score 2.89
7.automl / auto-sklearn
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameter-search
- +4 more
+16 stars
from 8,133 · score 2.83
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
+15 stars
from 1,253 · score 2.77
9.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
+14 stars
from 9,844 · score 2.71
10.keras-team / autokeras
AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
- deep-learning
- machine-learning
- +3 more
+11 stars
from 9,330 · score 2.48
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
+10 stars
from 10,049 · score 2.40
12.polyaxon / polyaxon
AI Infra / AI Orchestration / AI Control Plane
+10 stars
from 3,738 · score 2.40
+9 stars
from 7,591 · score 2.30
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
+6 stars
from 3,240 · score 1.95
15.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
+3 stars
from 14,361 · score 1.39
16.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
- bayesopt
- optimization
- scientific-computing
- machine-learning
- hyperparameter
- bayesian-optimization
- +9 more
+3 stars
from 2,828 · score 1.39
17.hyperopt / hyperopt-sklearn
Hyper-parameter optimization for sklearn
+3 stars
from 1,646 · score 1.39
18.automl / Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
+2 stars
from 2,539 · score 1.10
19.maxpumperla / hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
- hyperopt
- keras
- hyperparameter-optimization
+2 stars
from 2,172 · score 1.10
20.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
- bayesian-optimization
- bandit-algorithms
- evolution-strategies
- blackbox-optimization
+2 stars
from 280 · score 1.10
21.mlr-org / mlr
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
- r-package
- predictive-modeling
- +14 more
+1 stars
from 1,685 · score 0.69
22.autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
- deep-learning
- keras
- keras-tensorflow
- hyperparameter-optimization
- artificial-intelligence
- tensorflow
+1 stars
from 1,634 · score 0.69
23.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
+1 stars
from 1,143 · score 0.69
24.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
25.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