AI允许与PSG玩家进行人脸识别
AI permiting to do face recognition with PSG players (2024-02-28, Jupyter Notebook, 0KB, 下载0次)
欢迎来到Edu，您的个人虚拟助理！Edu是一个语音驱动的应用程序，旨在帮助和娱乐具有各种功能的用户。通过语音识别、自然语言处理和语音合成技术的结合，Edu可以响应您的查询、提供信息、破解笑话等。-GitHub-neha181 oss/SpeechRecognitiom：欢迎来到Edu，您的个人虚拟助手！Edu是一个语音驱动的应用程序，旨在帮助和娱乐您
Welcome to Edu, your personal virtual assistant! Edu is a speech-driven application designed to assist and entertain users with a variety of functionalities. With a combination of speech recognition, natural language processing, and voice synthesis technologies, Edu can respond to your queries, provide information, crack jokes, and more. - GitHub - neha181-oss/SpeechRecognitiom: Welcome to Edu, your personal virtual assistant! Edu is a speech-driven application designed to assist and entertain u (2024-01-25, Jupyter Notebook, 0KB, 下载0次)
CanineNet：一个基于CNN的工具，用于对图像中的狗品种进行分类，帮助Le Refuge动物协会。利用斯坦福狗数据…
CanineNet: A CNN-based tool for classifying dog breeds in images, aiding Le Refuge animal association. Utilizes the Stanford Dogs Datas… (2024-01-10, Jupyter Notebook, 0KB, 下载0次)
玩变形金刚和LLM
Playing with Transformers and LLM (2023-12-18, Jupyter Notebook, 0KB, 下载0次)
使用玩PacMan的参与者的眼球跟踪数据
Working with eye tracking data from participants playing PacMan (2023-12-15, Jupyter Notebook, 0KB, 下载0次)
Twitter，Inc.是一家位于加利福尼亚州旧金山的美国社交媒体公司。该公司运营社交网络服务...，
Twitter, Inc. was an American social media company based in San Francisco, California. The company operated the social networking service Twitter and previously the Vine short video app and Periscope livestreaming service. Twitter is one of the popular social media applications where people share what they feel in a limited number of words. (2023-10-07, Jupyter Notebook, 0KB, 下载0次)
使用计算机视觉和卷积神经网络对CPU玩石头、纸、剪刀，
Play Rock, Paper, Scissors against the CPU using Computer Vision and Convolutional Neural Networks, (2022-12-08, Jupyter Notebook, 0KB, 下载0次)
斯坦福狗数据集包含来自世界各地的120种狗的图像。此数据集是使用图像和注释构建的...，
The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. (2023-08-19, Jupyter Notebook, 0KB, 下载0次)
斯坦福大学cs224w图形机器学习（2021）课程家庭作业问题和编程作业的解决方案。，
Solutions to homework problems and programming assignments for Stanford s cs224w Machine Learning with Graphs (2021) course., (2023-07-06, Jupyter Notebook, 0KB, 下载0次)
使用OpenCV、NumPy和MatPlotLib实现的计算机视觉算法，用于斯坦福大学的CS131:Computer Vision:Foundations and Application...，
Computer Vision algorithms implemented using OpenCV, NumPy and MatPlotLib, for Stanford s CS131: Computer Vision: Foundations and Applications; Stanford s CS231A: Computer Vision, From 3D Reconstruction to Recognition; Stanford s CS231n: Convolutional Neural Networks for Visual Recognition (2023-01-07, Jupyter Notebook, 0KB, 下载0次)
TFT视频游戏10000名挑战者排名玩家的多类分类。
Multiclass classification of 10,000 challenger ranked players for TFT video game. (2023-03-21, Jupyter Notebook, 1524KB, 下载0次)
基于斯坦福大学CS224W:Machine Learning with Graphs的研究小组。研究小组由...
Study Group based on CS224W: Machine Learning with Graphs from Stanford University. The Study Group is comprised of students from the Connectivity Section of the Department of Electronic Systems at Aalborg University, Aalborg, Denmark. (2022-01-30, Jupyter Notebook, 9169KB, 下载0次)
斯坦福大学CS22W:Machine Learning with Graphs课程的最终项目（[http:web.Stanford.edu clas...]（http:web.Stanford.edu class cs224w）
Final Project for the CS22W: Machine Learning with Graphs course at Stanford University (<http://web.stanford.edu/class/cs224w/>) in Autumn 21. We applied graph ML techniques and networks (such as the Graph Convolutional Network, GraphSAGE Network and Graph Isomorphism Network) to the ogbl-ddi dataset ([https://ogb.stanford.edu/docs/linkprop/#ogbl...](https://ogb.stanford.edu/docs/linkprop/#ogbl- (2021-12-24, Jupyter Notebook, 2446KB, 下载0次)
识别非面部图像中情绪的分类器。三名斯坦福学生的合作：诺亚·贾克...
A classifier that recognizes emotions in non-facial images. A collaboration between three Stanford students: Noah Jacobson, Katherine Kowalski, and Hasna Rtabi. (2018-12-12, Jupyter Notebook, 658KB, 下载0次)
情绪分类斯坦福情绪树有5个标签：非常积极，积极，中性，消极，积极...
Sentiment Classification On Stanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative. DataSet Link : <https://huggingface.co/datasets/SetFit/sst5> (2022-12-11, Jupyter Notebook, 1753KB, 下载0次)
在这本笔记本中，我们将探索如何使用试错阈值和Otsu的met...
In this notebook, we will explore how to conduct image segmentation using trial and error thresholding and Otsu’s method. We will also explore how the RGB and HSV color spaces can help pinpoint and segment objects in images. (2021-02-08, Jupyter Notebook, 5226KB, 下载0次)
stanford_drone_dataset_to_semantic_task，将斯坦福无人机数据集用于语义分割任务和迁移学习U-net的方法
stanford_drone_dataset_to_semantic_task,Method for adapting Stanford Drone Dataset for semantic segmentation task and transfer learning U-net (2021-06-22, Jupyter Notebook, 1026KB, 下载0次)
CS231n-2021spring,【更新ing】斯坦福大学计算机视觉经典课程CS231n自学材料,总结了一些遇到的问题和知识点
CS231n-2021spring, [Updating] Stanford University Computer Vision Classic Course CS231n Self Study Materials, summarizing some encountered problems and knowledge points (2021-11-22, Jupyter Notebook, 170478KB, 下载0次)
GrabAI_ComputerVision_Cars，Grab AI挑战赛斯坦福汽车数据集上FastAI对象检测的实现（计算机视觉...
An implementation of the FastAI Object Detection on the Stanford Cars Dataset for the Grab AI Challenge (Computer Vision Category) (2019-06-17, Jupyter Notebook, 1503KB, 下载0次)
aiforsea cv cars，斯坦福汽车数据集上的细粒度视觉分类
aiforsea-cv-cars,Fine-Grained Visual Classification on Stanford Cars Dataset (2022-06-21, Jupyter Notebook, 20291KB, 下载0次)