networkx

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.

Provides advanced deep learning utilities for model architecture design, hyperparameter tuning, and performance optimization across PyTorch and TensorFlow frameworks.

Automates preprocessing, spike sorting, and visualization of high-density neural recordings from Neuropixels probes for neuroscience research

Analyze medical datasets, perform health data preprocessing, and build predictive models for clinical research using Python's scientific computing libraries

Retrieves, filters, and analyzes clinical trial data from ClinicalTrials.gov using advanced search and metadata extraction techniques

Performs advanced statistical analysis with regression, hypothesis testing, data visualization, and machine learning model evaluation across various datasets

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

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