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Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess, Vless, Trojan, ShadowSocks, Wireguard, 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.
Code for paper "Temporal Interest Network for Click-Through Rate Prediction"
junwei-pan / TIN
Forked from zhouxy1003/TINCode for paper "Temporal Interest Network for Click-Through Rate Prediction"