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amo33/README.md

NICE To Meet you! 👋

🔭 I’m currently working on Model serving optimization, training acceleration.

Expecially system for AI is main research topic. vLLM, Flash attention, and Megatron-LM is on my watch list LOL.

Moreover, I'm dissecting best practice cuda implementation and really interested in parallel programming & low level programming(os-level).

📫 How to reach me: email me to [email protected] :) ...

cuda docker Pytorch onnx c++

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  1. executorch executorch Public

    Forked from pytorch/executorch

    On-device AI across mobile, embedded and edge for PyTorch

    C++

  2. flatflow flatflow Public

    Forked from 9rum/flatflow

    A learned system for parallel training of deep neural networks

    Python

  3. NeMo NeMo Public

    Forked from NVIDIA/NeMo

    A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

    Python

  4. onnx-mlir onnx-mlir Public

    Forked from onnx/onnx-mlir

    Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

    C++

  5. onnxruntime onnxruntime Public

    Forked from microsoft/onnxruntime

    ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

    C++