Hacker News
- Open-Source AutoML Frameworks: How to Choose the Right One https://mljar.com/blog/python-automl/ 0 comments
Linked pages
- GitHub - minimaxir/automl-gs: Provide an input CSV and a target field to predict, generate a model + code to run it. https://github.com/minimaxir/automl-gs 32 comments
- GitHub - mljar/mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation https://github.com/mljar/mljar-supervised 27 comments
- Optuna - A hyperparameter optimization framework https://optuna.org/ 15 comments
- GitHub - automl/auto-sklearn: Automated Machine Learning with scikit-learn https://github.com/automl/auto-sklearn 1 comment
- GitHub - EpistasisLab/tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. https://github.com/EpistasisLab/tpot 0 comments
- GitHub - 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. https://github.com/h2oai/h2o-3 0 comments
- GitHub - microsoft/FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. https://github.com/microsoft/FLAML 0 comments
- GitHub - pycaret/pycaret: An open-source, low-code machine learning library in Python https://github.com/pycaret/pycaret 0 comments