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

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neuropixels-analysis🎯Skill

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

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pyhealth🎯Skill

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

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clinicaltrials-database🎯Skill

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

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statistical-analysis🎯Skill

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

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zarr-python🎯Skill

Efficiently manage and manipulate large, chunked, compressed N-dimensional arrays in scientific computing and data analysis workflows using Zarr.

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omero-integration🎯Skill

Streamlines scientific image data management by connecting Python workflows with OMERO's remote microscopy repository and metadata systems

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simpy🎯Skill

Simplifies scientific computing by providing powerful symbolic mathematics, numerical integration, and plotting capabilities for Python research and engineering tasks.

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qiskit🎯Skill

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