🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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1–18 of 18 · Most stars
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
AutoML library for deep learning
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
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.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Automatic architecture search and hyperparameter optimization for PyTorch
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
MLBox is a powerful Automated Machine Learning python library.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
An autoML framework & toolkit for machine learning on graphs.
Machine learning for Ruby
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.