Starred repositories
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!
AI agents running research on single-GPU nanochat training automatically
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.
This is the official implementation of ICML 2025 paper MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding.
从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！
Neural Networks: Zero to Hero
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
Lightweight coding agent that runs in your terminal
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
[ICLR 2025] BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Community-Aware Graph Transformer for Brain Disorder Identification
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning''