ruoyugao,Aron751,github

🐱 My GitHub Data

📦 55.2 kB Used in GitHub's Storage

🚫 Not Opted to Hire

📜 17 Public Repositories

🔑 3 Private Repositories

I'm a Night 🦉

🌞 Morning                37 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   07.54 % 
🌆 Daytime                157 commits         ████████░░░░░░░░░░░░░░░░░   31.98 % 
🌃 Evening                190 commits         ██████████░░░░░░░░░░░░░░░   38.70 % 
🌙 Night                  107 commits         █████░░░░░░░░░░░░░░░░░░░░   21.79 %

📅 I'm Most Productive on Tuesday

Monday                   43 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   08.76 % 
Tuesday                  156 commits         ████████░░░░░░░░░░░░░░░░░   31.77 % 
Wednesday                88 commits          ████░░░░░░░░░░░░░░░░░░░░░   17.92 % 
Thursday                 24 commits          █░░░░░░░░░░░░░░░░░░░░░░░░   04.89 % 
Friday                   79 commits          ████░░░░░░░░░░░░░░░░░░░░░   16.09 % 
Saturday                 34 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   06.92 % 
Sunday                   67 commits          ███░░░░░░░░░░░░░░░░░░░░░░   13.65 %

📊 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 Python

Python                   6 repos             ███████░░░░░░░░░░░░░░░░░░   27.27 % 
Elixir                   4 repos             █████░░░░░░░░░░░░░░░░░░░░   18.18 % 
Jupyter Notebook         3 repos             ███░░░░░░░░░░░░░░░░░░░░░░   13.64 % 
Shell                    1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   04.55 % 
HTML                     1 repo              █░░░░░░░░░░░░░░░░░░░░░░░░   04.55 %

Last Updated on 18/04/2024 01:13:23 UTC

Aron751's Projects

airl

my implementation with adversarial inverse reinforcement learning on gym(breakout)

anonymize-slide

Delete the label from a whole-slide image

awesome-rlhf

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

cloudcomputing

some useful skills for azure, aws and gcp

dynamo

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

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 coordinates of characters and items in the picture, and convert this information into our custom state information, and use DQN to make decisions.

gym

local gym contain boxworld

mnist_app_android

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

products

NYU DevOps Products Service Spring 2023

scikit-opt-gpu

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 faster than the popular lib scikit-opt.

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