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1. LLMs-Lab LLMs-Lab Public

   Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) |…

   Jupyter Notebook 5 1

2. Awesome-AI-Engineering Awesome-AI-Engineering Public

   A curated collection of AI Engineering resources, in-depth book notes, and production-grade best practices. Covers LLMs, Agents, RAG, MCP, and Machine Learning System Design.

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3. Distributed-Systems-Lab Distributed-Systems-Lab Public

   A portfolio of production-grade engineering solutions focused on distributed systems and microservice architectures (Developed 2017–2021). Features high-performance gRPC frameworks, unified HTTP pr…

   Python

4. Machine-Learning Machine-Learning Public

   A collection of Statistical Machine Learning implementations and application projects implemented by me between 2015 and 2019. Features core algorithms (SVM, KNN, RF) and ensemble methods (GBDT, XG…

   Python

5. NLP-Before-LLMs NLP-Before-LLMs Public

   A curated archive of NLP and Reinforcement Learning projects personally developed or analyzed between 2015 and 2020. Features implementations of core architectures (BiLSTM, TextCNN, Seq2Seq) alongs…

   Python 2

6. Public-Opinion-Analysis Public-Opinion-Analysis Public

   Using albert to analyse public opinions (Developed 2019-2020).

   Python