ModelSelectionAccelerator.jl

ModelSelectionAccelerator.jl is a Julia Package that provides broad-based support to accelerate applied research using feature selection/dimensionality reduction techniques.

Features

Extended Julia-to-Latex migration functions that work as an “automatic research assistant”. Using ModelSelection.jl results, it generates a dynamic Latex document, with relevant tables, graphics, and metrics.
AI integration for references and literature review. Using user-provided keywords or phrases, ModelSelectionAccelerator.jl will interact with Google Scholar, Scopus, PubMed, among others, to obtain a potentially relevant bibliography. Then a subset of them with available abstracts, references, and keywords will be used to provide citation networks, and keywords/citations statistics. Finally, a machine learning system with modern Large Language Models will be used to generate, based on articles’ abstracts, a similarity network to provide users with additional information for a deeper search among related bibliography. This network will be exported to the Latex document as a table, a figure, and to a standard output file to be viewed using graph plotting and analysis tools such as Gephi.

ModelSelection package

ModelSelectionAccelerator.jl package uses ModelSelection.jl. For more details about the functionalities and features provided by ModelSelection.jl, please visit the package repository.

Contributions are welcome! If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request on the repository. Make sure to follow the guidelines outlined in the Contributing section.

TODO List

For an overview of pending tasks, improvements, and future plans for the ModelSelectionGUI package, please refer to the TODO section.

License

This package is licensed under the MIT License.