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GrayXu/README.md 
From: 08 March 2026 - To: 15 March 2026

Other         17 hrs 45 mins        >>>>>>>>>>>--------------   42.21 %
zsh           6 hrs 31 mins         >>>>---------------------   15.50 %
Markdown      6 hrs 24 mins         >>>>---------------------   15.25 %
C++           4 hrs 26 mins         >>>----------------------   10.57 %
Python        2 hrs 27 mins         >------------------------   05.83 %
JSON          1 hr 28 mins          >------------------------   03.52 %
YAML          1 hr 1 min            >------------------------   02.44 %

Know more about me: About - Gray's grind.

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  1. Awesome Ph.D advice lists Awesome Ph.D advice lists
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    <!-- A cascade mapping Ph.D advices list (for github page preview)-->
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    A cascade mapping ordered by ctime. So some parts may be duplicate.  
    
              
    
              
    
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    Thanks to those seniors who are willing to share.
    
              
    
              
    
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          CodePM  CodePM          Public
        
    
      
    


      
    
        IEEE TCAD, "CodePM: Parity-based Crash Consistency for Log-Free Persistent Transactional Memory"
      
    

      
    
          
  
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          openwebui-hybrid-thinking  openwebui-hybrid-thinking          Public
        
    
      
    


      
    
        hybrid thinking (aka deepclaude) in open-webui
      
    

      
    
          
  
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          Virtual-Try-On-Flask  Virtual-Try-On-Flask          Public archive
        
    
      
    


      
    
        Virtual Try-on Network on Flask
      
    

      
    
          
  
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          zfs-auto-snapshot  zfs-auto-snapshot          Public
        
    
      
    

        
    
          Forked from zfsonlinux/zfs-auto-snapshot
        
    

      
    
        Yet Another ZFS Automatic Snapshot Service for Linux
      
    

      
    
          
  
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          MartialBE/one-hub  MartialBE/one-hub          Public
        
    
      
    


      
    
        OpenAI 接口管理 & 分发系统，改自songquanpeng/one-api。支持更多模型，加入统计页面，完善非openai模型的函数调用。
      
    

      
    
          
  
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