《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

An end-to-end production workspace for AI-generated short dramas. From script input to structured storyboarding, consistency management, shot preparation, video generation, and export.

From Pipeline to Council — A lightweight agentic framework for search & recommendation. 五个 Agent 重构搜广推管线。

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents

A lightweight, flexible, and easy-to-use Python tool for generating and exporting CapCut drafts to build fully automated video editing/remix pipelines! Another similar project: https://github.com/G…

The open-source CapCut alternative

Experimental implementation of DeepSeek v4 flaash in llama.cpp

Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetin…

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with C…

分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等

how to optimize some algorithm in cuda.

About Awesome things towards foundation agents. Papers / Repos / Blogs / ...

A collection of research and application papers of (uncertainty) calibration techniques.

[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A high-throughput and memory-efficient inference and serving engine for LLMs

Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.

Fast and memory-efficient exact attention

Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.

This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding code links.

[ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

A book for Learning the Foundations of LLMs

Learning Large Language Model (LLM）(大语言模型学习)

🔥🔥🔥 Latest Advances on Large Recommendation Models

MoBA: Mixture of Block Attention for Long-Context LLMs