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Bryan Lu luyuzhe111

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  1. A high-throughput and memory-efficient inference and serving engine for LLMs
    Python 83.2k 18.2k
  2. Democratizing Reinforcement Learning for LLMs
    Python 5.6k 577
  3. Toolkit for Seamlessly Enabling RL Training on Any Agent with Bedrock AgentCore.
    Python 43 4
  4. [NeurIPS 23] Characterizing OOD Error via Optimal Transport
    Jupyter Notebook 13 1
  5. Forked from mint-vu/SLOSH
    [WACV 24] Set Locality Sensitive Hashing via Sliced Wasserstein Embedding
    Jupyter Notebook 1
  6. Forked from matthewberger/neurcomp
    [EuroVis 21] Compressive Neural Representations of Volumetric Scalar Fields
    Python 1