floodsung/wechat_jump_end_to_end

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Rank 213,097 (Top 5 %)
Language
Python
License
MIT License
Created almost 7 years ago
Updated almost 7 years ago

floodsung/wechat_jump_end_to_end

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Playing Wechat Jump Game with End-to-End Convolutional Neural Networks

Wechat_Jump_End_to_End

Prerequisite

pytorch

How to use it

Connect your iPhone or Android to your computer, follow this guide:

Android and iOS connection guide

Then:

python run_ios.py

or 

python run_android.py

Note

The code is tested on iPhone 6s and Xiaomi Note3.

Due to different screen pixels on different phones, you have to adjust SCALE value in the code so as to run successfully on your device.

Just adjust SCALE value in [0.9,1.1].

Have Fun!

About Training

If you are interested in how to train this model, please check this git: wechat_jump_end_to_end_train

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Meta-Learning-Papers

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PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

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LLM-with-RL-papers

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Lifelong-Learning-Paper-List

Lifelong/Continual Learning Paper List

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meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

wechat_jump_end_to_end_train

Playing Wechat Jump Game with End-to-End Convolutional Neural Networks (Train code)

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a collection of cookbooks to use ChatGPT for academic research.

iOS_WiFi_EV3_Library

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A OpenAI Gym Env for Flappy Bird

songrotek.github.io

Personal Website

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iPhone Control ev3 car by bluetooth

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