通过OpenCV的无线声音控制结合了实时视觉处理来解释手势等提示。OpenCV分析视觉效果，触发声音事件。无线通信的集成允许远程控制音频设备，使其成为交互式安装和娱乐系统的理想选择。
Wireless sound control via OpenCV combines real-time visual processing to interpret cues like gestures. OpenCV analyzes visuals, triggering sound events. Integration of wireless communication allows remote control of audio devices, making it ideal for interactive installations and entertainment systems. (2024-03-29, Jupyter Notebook, 0KB, 下载0次)
该项目是一个强化学习项目，使用PPO算法训练代理玩游戏Super Mario Bros.该游戏使用健身房Super Mario-Bros环境玩。使用stable-baselines3库训练代理。该代理接受了500万步的培训，总分为21650。
This project is a reinforcement learning project that uses the PPO algorithm to train an agent to play the game Super Mario Bros. The game is played using the gym-super-mario-bros environment. The agent is trained using the stable-baselines3 library. The agent was trained for 5 million steps and was able to achieve a Total score of 21,650. (2024-02-15, Jupyter Notebook, 0KB, 下载0次)
一种绘图游戏，玩家必须尽快绘制指定的类。计算机可以使用卷积来猜测类
A drawing game where the player has to draw the specified classes as fast as possible. The computer can guess classes using a Convolutional (2024-02-06, Jupyter Notebook, 0KB, 下载0次)
使用pygame编辑外星人入侵视频游戏（太空入侵者的简单版本），并创建了一个AI来使用深度增强来玩游戏...
Edited the alien invasion videogame(simpler version of space invaders) ussing pygame, and created an AI to play the game using deep reinforcement learning. (2023-12-06, Jupyter Notebook, 0KB, 下载0次)
这是一个基于Deep-Q Learning的AI Snake游戏，其中模型增量学习并改进以玩游戏。
This is a Deep-Q Learning based AI Snake Game where the Model Incrementally Learns and Improves to Play the Game. (2023-12-08, Jupyter Notebook, 0KB, 下载0次)
数据清理和预处理由NFL玩家性能统计数据组成的数据集，用于创建机器学习模式...
Data clean and preprocess a dataset consisting of NFL player performance statistics to be used in the creation of a machine learning model that will serve to predict a given player s performance in an upcoming season. (2023-11-23, Jupyter Notebook, 0KB, 下载0次)
欢迎来到我的存储库，展示了三个旨在玩Connect4游戏的不同代理。这些代理展示了一系列马赫数...，
Welcome to my repository showcasing three distinct agents designed to play the game of Connect4. These agents demonstrate a range of Machine Learning and AI algorithms, from classic Minimax to an AlphaZero-inspired MCTS with a Neural Network. (2023-10-25, Jupyter Notebook, 0KB, 下载0次)
这是一种使用Gym开源和PPO算法训练Mario玩游戏并优化游戏奖励的深度学习模型，
This is a deep learning model using Gym open source and PPO algorithm to train Mario to play the game and optimize the reward of the game, (2023-09-09, Jupyter Notebook, 0KB, 下载0次)
Pong是一款经典的视频游戏，具有简单易懂的概念。这是一个双人游戏，每个玩家控制一个p...，
Pong is a classic video game that features a simple and easy-to-understand concept. It is a two-player game where each player controls a paddle on a screen. The objective is to hit a ball back and forth using the paddles without letting the ball pass behind your own paddle. (2023-08-30, Jupyter Notebook, 0KB, 下载0次)
在该项目中，创建了一个交互式石头剪刀游戏，其中用户可以使用相机玩计算机。，
In this project, an interactive Rock-Paper-Scissors game was created, in which the user can play with the computer using the camera., (2022-11-30, Jupyter Notebook, 0KB, 下载0次)
ChatGPT Prompt Engineering for Developers DeepLearning.AI材料。我做这件事只是为了好玩，并在这里与NB一起玩。，
ChatGPT Prompt Engineering for Developers DeepLearning.AI materials. I made it just for fun and sharing here the NBs to play around., (2023-05-25, Jupyter Notebook, 0KB, 下载0次)
创建一个可以在谷歌研究足球环境中玩足球的人工智能代理。CSE-UOI论文
Creating a AI-agent that can play football in the google research football environment.Thesis for CSE-UOI (2022-10-09, Jupyter Notebook, 9107KB, 下载0次)
AiToDinoRun，这个参考使用深度强化学习和使用<https:blog.paperspace.comdino-run>代码玩atari...
This reference playing atari with deep reinforcement learning and use <https://blog.paperspace.com/dino-run/> code to play Google Chrome s offline Dino Run game. (2018-09-21, Jupyter Notebook, 736KB, 下载0次)
重复游戏中的机器学习，应用强化学习来学习两个玩家之间重复游戏的过去结果，以确定未来...
Applying reinforcement learning to learn the past outcomes of a repeated game between two players to determine the best response strategy. (2019-03-01, Jupyter Notebook, 612KB, 下载0次)
Playing_atari_with_Renforcement_Learning，在pytorch（DQN、AC、ACER）中实现多个RL算法，并训练代理玩数字游戏
Playing_atari_with_Reinforcement_Learning,Implementation of multiple RL algorithms in pytorch (DQN, AC, ACER) and trained agents to play digital games (2018-03-24, Jupyter Notebook, 2730KB, 下载0次)
custom_game_inforcement_learning，一个展示如何训练人工智能使用稳定基线玩任意游戏的框架，在自定义...
A framework that shows how to train an AI to play an arbitrary game using stable-baselines, demonstrated on a custom version of Snake. (2023-02-01, Jupyter Notebook, 325KB, 下载0次)
atari保龄球ppo，一种使用强化学习和近端策略优化来学习玩atari保龄球的自主代理
atari-bowling-ppo,An autonomous agent that learns to play Atari Bowling using Reinforcement Learning and Proximal Policy Optimization (2021-06-27, Jupyter Notebook, 1281KB, 下载0次)
机器学习——AndrewNg-DeepLearning.AI，包含斯坦福大学吴恩达的ML专业化的所有课程模块、练习和笔记。和深度学习.ai...
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera (2022-11-22, Jupyter Notebook, 16377KB, 下载0次)
FrozenLake-Name-using-Q-learning，使用Q-learning，让代理学习如何最佳地玩OpenAI Gym提供的名为Frozen Lake environment的游戏，
Using Q-learning, made agent to learn how to play optimally a game called
Frozen Lake environment provided by OpenAI Gym
, (2020-09-26, Jupyter Notebook, 2KB, 下载0次)
Pytorch LSTM RNN用于强化学习，以玩来自OpenAI Universe的雅达利游戏。我们还使用了谷歌Deep Mind的异步优势Actor Critic（A3C）算法。这比DQN优越高效得多，而且已经过时了。可以玩很多游戏
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI
Universe. We also use Google Deep Mind s Asynchronous Advantage Actor-Critic
(A3C) Algorithm. This is much superior and efficient than DQN and obsoletes
it. Can play on many games
, (2019-02-27, Jupyter Notebook, 95037KB, 下载0次)