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  1. Trojan-Knowledge-Graph-RAG-QA-system Trojan-Knowledge-Graph-RAG-QA-system Public

    This is a production-ready Graph-RAG Q&A system that combines advanced hybrid retrieval with LLM-powered answer generation.

    Python

  2. rallyvision rallyvision Public

    On-device tennis ball tracking: a TrackNet-style CNN in PyTorch, evaluated leakage-free and deployed to Apple Neural Engine via Core ML (52 FPS).

    Python 1

  3. BERT4Rec-Sequential-Recommendation-System BERT4Rec-Sequential-Recommendation-System Public

    Two-stage sequential recommender on MovieLens 1M: BERT4Rec retrieval + DIN reranking + RRF fusion. Full-corpus HR@10 = 0.2974, NDCG@10 = 0.1692. Built from scratch in PyTorch.

    Python 2

  4. hstu-shortvideo-rec hstu-shortvideo-rec Public

    Generative sequential recommendation: Meta HSTU on KuaiRand short-video logs, with a dual-stream eval protocol and a 0.56Mโ€“7.3M capacity sweep.

    Python

  5. llm-ml-hyperparameter-tuner llm-ml-hyperparameter-tuner Public

    LLM agent that proposes ML training configs, smoke-tests them, and recommends the next hyperparameters.

    Python