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@Archaic-Atom
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ZhiboRao/README.md

Hi there 👋, My name is Zhibo Rao

  • 🔭 I’m currently working at Nanchang Hangkong University
  • 🌱 I’m currently learning computer vision
  • 👯 I’m looking to collaborate on Archaic-Atom
  • 🤔 I’m looking for help with Deep learning
  • 💬 Ask me about stereo matching
  • 📫 How to reach me: raoxi36@foxmail.com
  • 😄 Pronouns: Jack Rao
  • ⚡ Fun fact: I can't believe I'm a Ph.D.

The GitHub status:

Recent programming languages used:

Top Langs

Total coding time: wakatime

✨ The coding language used last week

From: 28 May 2024 - To: 04 June 2024

TeX          1 hr 17 mins    ███████▓░░░░░░░░░░░░░░░░░   31.00 %
sh           1 hr 16 mins    ███████▓░░░░░░░░░░░░░░░░░   30.72 %
MATLAB       1 hr 1 min      ██████▒░░░░░░░░░░░░░░░░░░   24.79 %
Markdown     24 mins         ██▓░░░░░░░░░░░░░░░░░░░░░░   10.02 %
Bash         5 mins          ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.17 %

Visitor Count

Pinned

  1. Archaic-Atom/JackFramework Archaic-Atom/JackFramework Public

    This is a training framework based on PyTorch, which is used to rapidly build the model, without caring about the training process (such as DDP or DP, Tensorboard, et al.). The demo can be found in…

    Python 15 3

  2. Archaic-Atom/Template-jf Archaic-Atom/Template-jf Public template

    This is template project for JackFramework (https://github.com/Archaic-Atom/JackFramework). It is used to rapidly build the model, without caring about the training process (such as DDP or DP, Tens…

    Python 1

  3. NLCA_Net NLCA_Net Public

    NLCA-Net: A Non-Local Context Attention Network for Stereo Matching

    Python 11 4

  4. Archaic-Atom/StereoColorEvalution Archaic-Atom/StereoColorEvalution Public

    The evalution and color code for kitti.

    MATLAB 3

  5. PaddlePaddle/PaddleDepth PaddlePaddle/PaddleDepth Public

    Python 59 11

  6. Archaic-Atom/NLCA-Net_v2 Archaic-Atom/NLCA-Net_v2 Public

    This is the project of the StereoMatching Project. This project based on my framework (if you want to use it to build the Network, you can find it on my website: fadeshine. If you have any question…

    Python 8 1