Pinned Repositories
automl-app
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
automl_comparison
Comparison of automatic machine learning libraries
bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
mercury
Convert Jupyter Notebooks to Web Apps
mljar-api-python
A simple python wrapper over MLJAR API.
mljar-examples
Examples how MLJAR can be used
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
plotai
PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
supertree
Visualize decision trees in Python
variable-inspector
Explore variables in Jupyter notebooks
MLJAR's Repositories
mljar/mercury
Convert Jupyter Notebooks to Web Apps
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
mljar/supertree
Visualize decision trees in Python
mljar/plotai
PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
mljar/bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
mljar/automl-app
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
mljar/mljar-examples
Examples how MLJAR can be used
mljar/mljar-api-python
A simple python wrapper over MLJAR API.
mljar/variable-inspector
Explore variables in Jupyter notebooks
mljar/mercury-examples
Example Jupyter Notebooks showing how to use Mercury framework
mljar/studio
Desktop app for data science. It provides Python notebook editor with interactive code recipes🍰 and AI assistant 🤖
mljar/mljar-agent
MLJAR Agent taking part in AutoGPT hackathon. Testing micro-agents and scenario prompts.
mljar/package-manager
Package Manager is a JupyterLab extension that simplifies managing Python packages directly within your notebooks
mljar/data-science-cheat-sheets
Collection of Data Science Cheat Sheets
mljar/integrations
How to integrate MLJAR AutoML with exteranl data sources: PostgreSQL, MySQL, MS SQL, ...
mljar/mljar-scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
mljar/runmercury-website
RunMercury.com website with Mercury framework documentation
mljar/studio-old
MLJAR Studio Desktop Application
mljar/mercury-slides-themes
Slides themes available in the Mercury framework
mljar/pydata-nyc-2023
Notebooks for Mercury tutorial
mljar/AutoML_in_science
Collected scientific publications using the MLJAR AutoML method
mljar/mercury-extension
Mercury Extension for JupyterLab
mljar/docs
Docs for mljar-supervised :books:
mljar/mercury-integrations
Mercury integrations with open-source packages
mljar/visual-identity
MLJAR Visual Identification Book
mljar/studio-examples
Example data science projects create with MLJAR Studio
mljar/.github
mljar/automlbenchmark
mljar/mercury-deploy-demo
Notebooks for deployment demo
mljar/support
Do you need help? Let us know!