机器学习、深度学习的学习路径及知识总结
Autumn-Recruit Algo Notes(秋招算法学习仓库),面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构,到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学,通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.