{"owner":"tshu-w","github":"https://github.com/tshu-w","claimed":false,"inventory":[],"indexed":[{"repo":"tshu-w/DBCopilot","github":"https://github.com/tshu-w/DBCopilot","description":"Code and data for the paper \"DBCᴏᴘɪʟᴏᴛ: Natural Language Querying over Massive Database via Schema Routing\" (EDBT 2025)","language":"Python","stars":136,"topics":["database","llm","text-to-sql","schema-routing"],"license":null,"category":"databases-storage"},{"repo":"tshu-w/lightning-template","github":"https://github.com/tshu-w/lightning-template","description":"PyTorch Lightning template for rapid, scalable and reproducible ML experimentation with best practices.","language":"Python","stars":24,"topics":["lightning","pytorch","pytorch-lightning","template"],"license":"MIT","category":"machine-learning"},{"repo":"tshu-w/ComEM","github":"https://github.com/tshu-w/ComEM","description":"Code for the paper \"Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching\" (COLING 2025)","language":"Python","stars":20,"topics":["compound-ai-systems","entity-matching","entity-resolution","large-language-model","llm","data-integration","data-intelligence"],"license":null,"category":"ai-agents"}],"how_to_buy":"GET /r/tshu-w/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}