该项目分析IPL 2024拍卖球员数据，包括姓名、球队、板球类型、国籍和价格。用户输入玩家的名字以访问球队、风格、国籍和拍卖价格，帮助研究和幻想联盟。它提供对球员动态的见解，为板球爱好者提供全面的数据探索。
This project analyzes IPL 2024 auctioned players data, including name, team, cricket type, nationality, and price. Users input a player s name to access team, style, nationality, and auction price, aiding research and fantasy leagues. It offers insights into player dynamics, serving cricket enthusiasts with comprehensive data exploration. (2024-03-26, Jupyter Notebook, 0KB, 下载0次)
我可以跟你开玩笑吗？一个应用程序，从用户的面部表情中学习他是否喜欢别人告诉他的笑话，然后继续从用户喜欢的主题中玩更多的笑话。
Can I Joke on you An application that learns from user s facial expressions whether or not he likes the jokes he is told and then continues to play more jokes from the topics the user likes. (2024-03-12, Jupyter Notebook, 0KB, 下载0次)
一个简单的机器学习项目，基于Aurelien Geron的书“动手机器学习”，该书估计了加利福尼亚州一个地区的房子成本。它是在具有大约2100个元素（相当少）的数据集上训练的。考虑了10个功能，如avg_house_value、total_rooms、population、avg_income、ocean_proximity、avg_ house_age。。。
A simple machine learning project based on Aurelien Geron book "Hands on Machine Learning" which estimate cost for a house in a district in California. It is trained on a dataset with about 2100 elements (quite few). There are 10 features taken in account like avg_house_value, total_rooms, population, avg_income, ocean_proximity, avg_house_age... (2024-03-11, Jupyter Notebook, 0KB, 下载0次)
该项目涉及使用各种机器学习技术构建一个AI来玩国际象棋游戏，包括使用CNN的深度学习。人工智能旨在与人类对手比赛，以测试他们的能力，以及自身。
This project involved building an AI to play the game of chess using various machine learning techniques, including deep learning using CNN. The AI was designed to play against human opponents to test their capabilities, as well as itself. (2024-02-12, Jupyter Notebook, 0KB, 下载0次)
该项目提供了一个强化学习代理的实现，该代理学习玩经典游戏《超级马里奥兄弟》。该代理使用PyTorch库（深度学习最流行的库之一）进行训练。
This project presents an implementation of a reinforcement learning agent that learns to play the classic game Super Mario Bros. The agent is trained using the PyTorch library, one of the most popular libraries for deep learning. (2024-02-06, Jupyter Notebook, 0KB, 下载0次)
玩家习惯如何影响他们的心理健康感兴趣的游戏习惯和人口统计学信息之间的关系，他们的焦虑，生活满意度和社交恐惧症。
How does gamer habits affect their psychological well-being Interested in the relationship between gaming habits and demographic information on their anxiety, life satisfaction, and social phobia. (2024-01-14, Jupyter Notebook, 0KB, 下载0次)
这是一个存储库，包含人工智能世界学校的学生可以玩和学习的所有项目。这些项目由人工智能世界学校社区经理Yiannis Hadjiyianni在项目总监的指导下编写。如有任何问题，请随时咨询不一致服务器。
This is a repository containing all the projects that students of the AI World School can play with and learn. These projects are written from the AI World School Community Manager, Yiannis Hadjiyianni under the guidance of the programme s directors. Please feel free to refer to the discord server for any questions. (2023-12-10, Jupyter Notebook, 0KB, 下载0次)
强化学习：Q学习和深度Q学习，训练可以玩著名的Nim.游戏的人工代理。，
Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim., (2022-09-25, Jupyter Notebook, 0KB, 下载0次)
探索和处理数据集，旨在模拟从正在玩游戏的大量用户生成的大数据...
Explore and process the data set intended to simulate big data generated from a large number of users who are playing out imaginary game, Catch the Pink Flamingo, a product of Eglence Inc. Analyze the data from a business focus and finally generate model and report to suggest Eglence Inc. how to improve revenue from this game. (2017-02-18, Jupyter Notebook, 21893KB, 下载0次)
ML Crate，众所周知，BGMI Loot Crate为游戏玩家提供了如此多的资源，这个ML Crate将成为各种游戏的中心...
As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Programs: SWOC 2021, JWOC 2022, OpenCode 2022, Hack Club RAIT SoC 2022, KWOC 2022. Devfolio URL, <https://devfolio.co/projects/mlcrate-98f9> (2023-02-19, Jupyter Notebook, 774189KB, 下载0次)
该项目的目标是探索OpenAI健身房环境并实现值函数近似算法。在该项目的第一部分，我们实现了深度Q学习（DQN），DeepMind的论文解释了强化学习算法如何从原始像素学习玩雅达利。这个项目的目的是...
The goal of the project is to explore OpenAI Gym environments and implement value function approximation algorithms. In the first part of the project we have implemented deep Q learning (DQN), following DeepMind’s paper that explains how reinforcement learning algorithms can learn to play Atari from raw pixels. The purpose of this project is to ... (2020-02-10, Jupyter Notebook, 143KB, 下载0次)
这个知识库包含我关于openai健身房环境的强化学习项目。Gym是一个用于开发和比较强化学习算法的工具包。它支持教学代理，从走路到玩乒乓球或弹球等游戏。
This repository contains my reinforcement learning projects on environments of
openai gym. Gym is a toolkit for developing and comparing reinforcement
learning algorithms. It supports teaching agents everything from walking to
playing games like Pong or Pinball.
, (2019-02-16, Jupyter Notebook, 96KB, 下载0次)
深度神经网络的Tensorflow实现，可以通过强化学习学习玩游戏。对于这款笔记本电脑，使用的游戏是OpenAI健身房库中的Cart-Pole游戏。此外，深度神经网络也可以用于其他游戏。为了在您的系统上运行此功能，您还需要克隆OpenAI...
Tensorflow implementation of a deep neural network that can learn to play games via reinforcement learning. For this notebook the game used is the Cart- Pole game that is available in the OpenAI Gym library. Also the deep neural network can be used for other games as well. In order to run this on your system you will also need to clone the (2018-06-11, Jupyter Notebook, 433KB, 下载0次)
一个深度卷积神经网络（CNN），用于玩著名的街机游戏“Ms。吃豆人使用Q学习（强化学习）进行训练。游戏数据是使用“OpenAI健身房”获取的。神经网络显著优于所有尝试过的一致随机策略。我们没有在Q网络中注入任何先验知识。例如，我们不解释...
A deep convolutional neural net (CNN) for playing the well-known arcade game ‘Ms. Pac-Man’ trained using Q-learning (reinforcement learning). Game data is obtained using the ‘OpenAI Gym’. The neural net significantly outperforms all tried uniform-random strategies. We do not inject any prior knowledge in the Q-nets. For instance, we do not (2017-12-06, Jupyter Notebook, 13KB, 下载0次)
这是南方科技大学CS303/311人工智能课程的大作业——玩转黑白棋。This is the project of CS303/311 Artificial
Intelligence course in Southern University of Science and Technology, which is
to design AI to play Reverse Reversi.
,
This is the big assignment for the CS303 311 Artificial Intelligence course at Southern University of Science and Technology - playing black and white chess. This is the project of CS303 311 Artificial Intelligence course in Southern University of Science and Technology, which is to design AI to play Reverse Reversi. (2022-08-07, Jupyter Notebook, 18206KB, 下载0次)