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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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ruoyuGao/README.md

Code Time

AI Code Time

🐱 My GitHub Data

📦 57.1 kB Used in GitHub's Storage

🏆 70 Contributions in the Year 2026

🚫 Not Opted to Hire

📜 17 Public Repositories

🔑 4 Private Repositories

I'm a Night 🦉

🌞 Morning                41 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   09.98 % 
🌆 Daytime                145 commits         █████████░░░░░░░░░░░░░░░░   35.28 % 
🌃 Evening                140 commits         █████████░░░░░░░░░░░░░░░░   34.06 % 
🌙 Night                  85 commits          █████░░░░░░░░░░░░░░░░░░░░   20.68 %

📅 I'm Most Productive on Tuesday

Monday                   38 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   09.25 % 
Tuesday                  117 commits         ███████░░░░░░░░░░░░░░░░░░   28.47 % 
Wednesday                43 commits          ███░░░░░░░░░░░░░░░░░░░░░░   10.46 % 
Thursday                 23 commits          █░░░░░░░░░░░░░░░░░░░░░░░░   05.60 % 
Friday                   107 commits         ███████░░░░░░░░░░░░░░░░░░   26.03 % 
Saturday                 41 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   09.98 % 
Sunday                   42 commits          ███░░░░░░░░░░░░░░░░░░░░░░   10.22 %

📊 This Week I Spent My Time On

🕑︎ Time Zone: America/New_York

💬 Programming Languages: 
Markdown                 2 hrs 41 mins       ██████████████████░░░░░░░   71.67 % 
Other                    32 mins             ████░░░░░░░░░░░░░░░░░░░░░   14.55 % 
Python                   23 mins             ███░░░░░░░░░░░░░░░░░░░░░░   10.34 % 
JSON                     6 mins              █░░░░░░░░░░░░░░░░░░░░░░░░   03.02 % 
Git Config               0 secs              ░░░░░░░░░░░░░░░░░░░░░░░░░   00.37 % 

🔥 Editors: 
Claude Code              3 hrs 9 mins        █████████████████████░░░░   84.23 % 
VS Code                  35 mins             ████░░░░░░░░░░░░░░░░░░░░░   15.77 % 

💻 Operating System: 
Mac                      3 hrs 45 mins       █████████████████████████   100.00 %

🤖 AI Coding This Week

⏱ AI Coding Time: 3 hrs 29 mins (92.83%)

✍️ 684 lines written by AI, 103 lines written by hand (86.91% AI-written)

🔤 2,226,816 Input Tokens, 416,660 Output Tokens

💵 $32.08 Estimated AI Cost This Week

🧠 11 AI Sessions, 45 AI Prompts

Opus                     695 lines           █████████████████████████   100.00 % 

🔎 AI Coding Insights:
🤖 AI-Driven — 86.91% of written lines came from AI
📝 Concise Prompter — average 350 characters per prompt
🔁 Iterative Prompter — average 4 prompts per session
🚀 High AI Trust — 12.91% of changed lines were hand-edited

I Mostly Code in Python

Python                   4 repos             █████░░░░░░░░░░░░░░░░░░░░   20.00 % 
Elixir                   4 repos             █████░░░░░░░░░░░░░░░░░░░░   20.00 % 
Jupyter Notebook         3 repos             ████░░░░░░░░░░░░░░░░░░░░░   15.00 % 
Shell                    1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   05.00 % 
HTML                     1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   05.00 %

Last Updated on 07/10/2026 05:21:54 UTC

Pinned Loading

  1. opendilab/DI-engine opendilab/DI-engine Public

    OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

    Python 3.6k 436

  2. opendilab/awesome-RLHF opendilab/awesome-RLHF Public

    A curated list of reinforcement learning with human feedback resources (continually updated)

    4.4k 263

  3. scikit-opt-gpu scikit-opt-gpu Public

    We implemented our own sequential version of GA, PSO, SA and ACA using C++ (some using Eigen3 as matrix operation backend) and the parallelized version with CUDA support. All of them are much fast…

    C++ 6

  4. Genshin_auto_harvesting Genshin_auto_harvesting Public

    Forked from Megvii-BaseDetection/YOLOX

    genshin automatic harvesting AI is composed of [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX), DQN two-part model. Use transfer learning for training.We use yolox to detect the pixel coordi…

    Python 3

  5. Dynamo Dynamo Public

    simplified Dynamo with hash consistent, anti-entropy and gossp protocol

    Elixir 2