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

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

Example Jupyter Notebooks showing how to use Mercury framework

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

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

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

Dockerfile for an image containing MLJar compatible with VAST.ai

🛡️ Explore Mercury Framework, a safe educational tool for security researchers and pentesters, featuring modular CLI and harmless simulation components.