Lists (16)
Starred repositories
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
The unofficial implementation of "RankMixer: Scaling Up Ranking Models in Industrial Recommenders"
The agent that grows with you
Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, Hysteria, Tunnel, Mixed, HTTP, Tun)
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
Semi-automated research assistant for academic research and software development. Supports Claude Code, OpenCode, and Codex CLI across ideation, coding, experiments, writing, and publication.
Official, Anthropic-managed directory of high quality Claude Code Plugins.
An agentic skills framework & software development methodology that works.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Official code of paper "LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application" (AAAI 2025 Oral)
AI agents running research on single-GPU nanochat training automatically
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
A powerful GUI app and Toolkit for Claude Code - Create custom agents, manage interactive Claude Code sessions, run secure background agents, and more.
An Obsidian plugin that embeds Claude Code as an AI collaborator in your vault
A community collection of OpenClaw use cases for making life easier.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
论文X光机 — Claude Code Skill，解构学术论文，提炼餐巾纸公式
An Open Foundation Model and Benchmark to Accelerate Generative Recommendation
The implementation of the SIGIR 2023 paper "When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation"
一个可直接落地的端到端推荐系统原型，覆盖离线训练、在线推断与可视化展示，核心链路为：DSSM 双塔召回 → DeepFM 粗排 → 策略补充（热门/冷启动）。
[KDD'25] LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation.
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.