Dockerfile for an image containing MLJar compatible with VAST.ai

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

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

MLJAR Studio Desktop Application

RunMercury.com website with Mercury framework documentation

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

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

MLJAR Agent taking part in AutoGPT hackathon. Testing micro-agents and scenario prompts.

Example Jupyter Notebooks showing how to use Mercury framework

Explore variables in Jupyter notebooks

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.

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

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