Steven Yu

zotero-mcp. Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.

molview. An IPython/Jupyter widget for interactive molecular visualization, based on Molstar. This is the Jupyter widget version of nano-protein-viewer.

code-mcp. Code-MCP: Connect Claude AI to your development environment through the Model Context Protocol (MCP), enabling terminal commands and file operations through the AI interface.

nano-protein-viewer. A simple but powerful VSCode extension for visualizing protein structures using the Molstar framework.

kaggle-mcp. Kaggle-MCP: Connect Claude AI to the Kaggle API through the Model Context Protocol (MCP), enabling competition, dataset, and kernel operations through the AI interface.

pyapple-mcp. PyApple-MCP: A Python implementation of Apple-native tools for the Model Context Protocol (MCP), providing seamless integration with macOS applications.

school-mcp. A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.

fused-swiglu. Python

model_survey. Python

yo-cmd. Yo-cmd: Turn natural language into terminal commands.

evoaug-tf_analysis. Jupyter Notebook

Salient. Salient: Transforming complex pharmaceutical labeling into personalized, interactive Q&A conversations using OCR technology and small language models.

basenji. Sequential regulatory activity predictions with deep convolutional neural networks.

memesuite-lite-js. Memesuite-lite-js: A JavaScript port of the Python memesuite-lite library, providing fast implementations of FIMO and TOMTOM algorithms for biological sequence analysis.

d3_evaluation_pipeline. Python

evoaug-tf. Evolution-inspired data augmentations for TensorFlow-based models for regulatory genomics

gemini-mcp-client. Python

Nandgoat_SBRT. Stony Brook Internal Robotics Competition Nandgoat Team Design (2nd Place Team)

webcam-inference. TypeScript