mljar

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Explore variables in Jupyter notebooks

Example Jupyter Notebooks showing how to use Mercury framework

Package Manager is a JupyterLab extension that simplifies managing Python packages directly within your notebooks

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

RunMercury.com website with Mercury framework documentation

MLJAR Studio Desktop Application

Wine 🍷 Dataset Exploration, XGBoost Regression, Hyperparameter Tuning with Optuna & AutoML

AutoML Libraries for training multiple ML models in one go with less code.

Dockerfile for an image containing MLJar compatible with VAST.ai