Stars
Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch
🎓 系统性大语言模型构建课程｜🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)｜🚀 6 个渐进式作业 + 代码驱动，建立 LLM 全栈认知体系
agent skill to summary youtube & bilibili video
哈喽！龙虾 🙋♀️ Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾！
🐾 OpenClaw 101 — 从零开始，7天掌握你的AI私人助理 | 全网资源聚合站
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
从零开始玩转OpenClaw：最全面的中文教程，涵盖安装、配置、实战案例和避坑指南（github版）
A final sanity checklist to help your CS paper get accepted, not desk rejected.
[AAAI 2026 Oral] Harnessing Vision-Language Models for Time Series Anomaly Detection
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
An Awesome List of the latest time series papers and code from top AI venues.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A python library for user-friendly forecasting and anomaly detection on time series.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc
An awesome list of open-source battery data (electrochemical, safety, and microstructural), data analysis tools, modeling code, microstructure analysis, and data repositories and review papers. Thi…
The official BatteryLife repository
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…
结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"
Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个