transformers

Performs advanced semantic web searches using Perplexity AI, retrieving precise, contextual research insights across academic and general knowledge domains.

Converts scientific documents and research notes into clean, structured Markdown with proper formatting, citations, and LaTeX equation support.

Automates systematic literature review workflows by parsing academic papers, extracting key insights, and generating structured research summaries

Provides expert MATLAB scripting, data analysis, signal processing, and numerical computing solutions for engineering and scientific research

Analyzes and visualizes complex network graphs, performing advanced algorithms for connectivity, centrality, and structural insights in Python

Simplifies graph neural network development with PyTorch Geometric, enabling efficient node, edge, and graph-level machine learning tasks.

Rapidly retrieve and synthesize academic research across disciplines using advanced search, filtering, and citation extraction techniques.

Enables quantum circuit design, simulation, and execution using IBM's Qiskit framework for quantum computing research and algorithm development

Efficiently query, index, and manage full-text search capabilities for lightweight, high-performance document databases using Zinc search engine.

Retrieves, parses, and analyzes protein structural data from Protein Data Bank (PDB) files for scientific research and molecular visualization