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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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ruoyuGao/README.md

Code Time

🐱 My GitHub Data

📦 55.3 kB Used in GitHub's Storage

🏆 0 Contributions in the Year 2024

🚫 Not Opted to Hire

📜 17 Public Repositories

🔑 3 Private Repositories

I'm a Night 🦉

🌞 Morning                37 commits          ███░░░░░░░░░░░░░░░░░░░░░░   10.76 % 
🌆 Daytime                85 commits          ██████░░░░░░░░░░░░░░░░░░░   24.71 % 
🌃 Evening                137 commits         ██████████░░░░░░░░░░░░░░░   39.83 % 
🌙 Night                  85 commits          ██████░░░░░░░░░░░░░░░░░░░   24.71 %

📅 I'm Most Productive on Tuesday

Monday                   35 commits          ███░░░░░░░░░░░░░░░░░░░░░░   10.17 % 
Tuesday                  113 commits         ████████░░░░░░░░░░░░░░░░░   32.85 % 
Wednesday                41 commits          ███░░░░░░░░░░░░░░░░░░░░░░   11.92 % 
Thursday                 20 commits          █░░░░░░░░░░░░░░░░░░░░░░░░   05.81 % 
Friday                   70 commits          █████░░░░░░░░░░░░░░░░░░░░   20.35 % 
Saturday                 28 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   08.14 % 
Sunday                   37 commits          ███░░░░░░░░░░░░░░░░░░░░░░   10.76 %

📊 This Week I Spent My Time On

🕑︎ Time Zone: America/New_York

💬 Programming Languages: 
No Activity Tracked This Week

🔥 Editors: 
No Activity Tracked This Week

💻 Operating System: 
No Activity Tracked This Week

I Mostly Code in Elixir

Elixir                   4 repos             █████░░░░░░░░░░░░░░░░░░░░   21.05 % 
Python                   3 repos             ████░░░░░░░░░░░░░░░░░░░░░   15.79 % 
Jupyter Notebook         3 repos             ████░░░░░░░░░░░░░░░░░░░░░   15.79 % 
Shell                    1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   05.26 % 
HTML                     1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   05.26 %

Last Updated on 14/11/2024 01:41:26 UTC

Pinned Loading

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

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

    Python 3.1k 373

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

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

    3.5k 211

  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 2

  5. mnist_app_android mnist_app_android Public

    a app for you to transfer tf model to android.you can wirte a number by your hand and predict it by app

    Java

  6. Dynamo Dynamo Public

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

    Elixir 2