与Python一起玩的沙盒存储库。
A sandbox repository to play with Python. (2024-05-19, Jupyter Notebook, 0KB, 下载0次)
基于RNN和变换器的扑克玩家建模
POKER PLAYER MODELING USING RNNs AND TRANSFORMERS (2024-04-26, Jupyter Notebook, 0KB, 下载0次)
此存储库包含我关于DeepLearning的机器学习专业化课程的学习旅程。人工智能和斯坦福大学
This repository contains my learning journey about the Machine Learning Specialization course from DeepLearning.AI and Standford University (2024-03-23, Jupyter Notebook, 0KB, 下载0次)
一种玩Chrome恐龙游戏的机器学习模型
A machine learning model to play Chrome s dino game (2024-03-18, Jupyter Notebook, 0KB, 下载0次)
使用功能工程（500+个功能）微调和测试Random Forest、XGBoost和LightGBM模型，以预测玩家评分，从而进行玩家匹配优化。预测精度排名第三。
Fine-tuned and tested Random Forest, XGBoost, and LightGBM models with feature engineering (500+ features) to predict player rating for player matching optimization. Ranked the 3rd place in prediction accuracy. (2024-02-04, Jupyter Notebook, 0KB, 下载0次)
斯坦福NLP Python库，用于使用激活干预（或激活修补）来解释神经模型的因果机制
Stanford NLP Python library for using activation intervention (or activation patching) to interpret causal mechanism of neural model (2024-01-13, Jupyter Notebook, 0KB, 下载0次)
激光标签玩家的排名和配对
Ranking and matchmaking of laser tag players (2023-11-21, Jupyter Notebook, 0KB, 下载0次)
该项目侧重于使用机器学习算法预测加利福尼亚州的房价，并对......进行深入分析...，
This project focuses on predicting housing prices in California using machine learning algorithms and conducting in-depth analyses of the importance of each feature in the model. (2023-10-17, Jupyter Notebook, 0KB, 下载0次)
存储库包含数据和Jupyter笔记本，用于对加利福尼亚州的尿道水平监禁率进行多元线性回归（MLR）分析...，
Repository containing data and Jupyter notebooks for a multiple linear regression (MLR) analysis on tract-level incarceration rates in California. This project explores the relationship between various socio-economic factors and incarceration rates. A work in progress. (2023-10-07, Jupyter Notebook, 0KB, 下载0次)
CS231n是一种用于视觉识别课程的卷积神经网络。这是斯坦福大学提供的，我来回答...，
CS231n is a Convolutional Neural Networks for Visual Recognition course. It is provided by Stanford university, and I am going to answer to its questions and complete its practice (part 1) in this repository. (2023-10-07, Jupyter Notebook, 0KB, 下载0次)
对玩pong游戏的主动推理机进行建模，
Modelling active inference agent playing the game of pong, (2023-09-27, Jupyter Notebook, 0KB, 下载0次)
数据集包括1990年在加利福尼亚州进行的人口普查获得的数据。，
The dataset comprises data obtained from the 1990 census conducted in the state of California., (2023-08-17, Jupyter Notebook, 0KB, 下载0次)
单玩家和多玩家多武器匪徒（MAB）算法的研究框架，实现所有最先进的算法...，
?? Research Framework for Single and Multi-Players ?? Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on (2022-03-21, Jupyter Notebook, 0KB, 下载0次)
Jupyter笔记本在R中再现了“水微生物组通过直接饮用水的中试规模深度处理设施......”的分析...，
Jupyter notebooks in R reproducing analyses for "The Water Microbiome Through a Pilot Scale Advanced Treatment Facility for Direct Potable Reuse." (doi: 10.3389/fmicb.2019.00993). (2019-04-30, Jupyter Notebook, 0KB, 下载0次)
本项目将消火栓现场试压数据转换为水力等级值。使用pand...管理和操作数据...，
The project converts water hydrant field pressure test data to hydraulic grade values. The data is managed and manipulated using the pandas and geopandas python libraries. Additionally, converted pressure tests are interpolated using the ordinary kriging method to develop a water leak prediction surface. (2019-10-28, Jupyter Notebook, 0KB, 下载0次)
该代码用于自动识别试井模型。该程序将使用压力和压力导数响应图像作为...，
This code is used to automatically identify the well test model. The program will use pressure and pressure derivative response images as input, and will then generate predictions in the form of wellbore, reservoir, and boundary types for each inputted pressure and pressure derivative response image (2023-06-14, Jupyter Notebook, 0KB, 下载0次)
通过Docker可执行文件对两个DICOM图像序列进行体积图像配准。集成到斯坦福的ePAD平台...
Volumetric image registration of two DICOM image series via a Docker executable. Integrated into Stanford s ePAD platform as a plugin. (2021-03-16, Jupyter Notebook, 48459KB, 下载0次)
斯坦福大学MS&E 448（大金融数据和算法交易）的集团项目。这是一门强调...
Group project of MS&E 448 (Big Financial Data and Algorithmic Trading) at Stanford. It is a project course emphasizing the connection between data, models, and reality. Vast amounts of high volume, high frequency observations of financial quotes, orders and transactions are now available, and poses a unique set of challenges. This type of data (2021-02-05, Jupyter Notebook, 7133KB, 下载0次)
用于斯坦福大学CS 229 Ma的研究论文“使用LSTM和SARIMA模型预测集群CPU使用情况”的代码...
Code used for research paper, "Using LSTM and SARIMA Models to Forecast Cluster CPU Usage" for the Stanford CS 229 Machine Learning Course (2020-07-09, Jupyter Notebook, 825KB, 下载0次)
Coursera-ML-AndrewNg-myNote,斯坦福大学2014(吴恩达)机器学习教程个人笔记,主要是 Python 代码实现
Coursera ML Andrew Ng myNote, Personal Notes of Stanford University 2014 (Andrew Y. Ng) Machine Learning Tutorial, mainly Python code implementation (2021-03-23, Jupyter Notebook, 73108KB, 下载0次)