Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery

Claude Code superpowers: core skills library

Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

The ultimate goal of NewsReX is to provide open access to the latest tools for training news recommendation models, making experiments faster and accessible to a wider range of GPUs.

A fast type checker and language server for Python

Code for MME-SID accepted to CIKM 2025 Full Research track.

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation, c…

Source code accompanying our RecSys '25 paper "Meta Off-Policy Estimation"

An agentic workflow tool that provides context engineering support for opencode

Vector (and Scalar) Quantization, in Pytorch

Playwright MCP server

Intelligent automation and multi-agent orchestration for Claude Code

Gin provides a lightweight configuration framework for Python

[ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."

Benchmarking Recommendation Abilities for Large Language Models

GRID: Generative Recommendation with Semantic IDs

Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server

This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles and companies, get your recommended jobs, and perform job searches.

An unofficial MCP interface to interact with the PapersWithCode API

Integrate the opencode AI assistant with Neovim — streamline editor-aware research, reviews, and requests.

The AI coding agent built for the terminal.

🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

"R1-Ranker: Teaching LLM Rankers to Reason", Tao Feng, Zhigang Hua, Zijie Lei, Yan Xie, Shuang Yang, Bo Long, Jiaxuan You

Code for paper Experimenting, Fast and Slow Bayesian Optimization of Long-term Outcomes with Online Experiments

Run your GitHub Actions locally 🚀

Unofficial wrapper for Substack's API

✨ AI Coding, Vim Style