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No performance, no algorithm.
🤞
No performance, no algorithm.

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Phoenix8215/README.md

Typing SVG

I'am currently a graduate student at National Laboratory of Pattern Recognition(NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA).

  • ✍️I regularly write articles on 知乎
  • 🥰I love running, reading(especially celebrity autobiographies) and working out(💪).
  • 📚I'm currently learning ❓.
  • 🚀My search interests are SLAM(mainly VSLAM), BEV&Occ and HPC.
  • 🤗I really enjoy talking to talented people.Feel free to ✉️e-mail
  • 😅Actually, I only have worked for 0x3FC00000(IEEE754) years, don't have much experience in corner cases, so please don't discuss this with me.
  • ⚡Fun fact: Actually when I first use Phoenix as my user name ,I just want to remember the name of Phoenix BIOS.Well,I know it sounds a bit funny, but that's just the way it is.In China Phoenix represents a big bird rising from the ashes, I later think it's very meaningful so I've been using it to this day
Top Langs

Languages and Tools:

cplusplus

Math skills

mathematical analysis, advanced algebra, numerical analysis, probability theory, mathematical statistics, stochastic process, information theory, convex optimization, time series

learn form scratch🥰

contributed repos(in no particular order)

Pinned Loading

  1. A-White-Paper-on-Neural-Network-Deployment A-White-Paper-on-Neural-Network-Deployment Public

    模型部署白皮书(CUDA|ONNX|TensorRT|C++)🚀🚀🚀

    189 43

  2. meituan/YOLOv6 meituan/YOLOv6 Public

    YOLOv6: a single-stage object detection framework dedicated to industrial applications.

    Jupyter Notebook 5.7k 1k

  3. Phoenix-LegendX/tensorrt_starter Phoenix-LegendX/tensorrt_starter Public

    Forked from kalfazed/tensorrt_starter

    This repository give a guidline to learn CUDA and TensorRT from the beginning.

    C++

  4. learn-TensorRT-from-scratch learn-TensorRT-from-scratch Public

    learn TensorRT from scratch🥰

    C++ 12

  5. build_neural_network_from_scratch_CPP build_neural_network_from_scratch_CPP Public

    Created a simple neural network using C++17 standard and the Eigen library that supports both forward and backward propagation.

    C++ 5 1

  6. TensorRT-GhostNet TensorRT-GhostNet Public

    TensorRT implementation of GhostNet

    C++ 1