zhaozhe987

zhaozhe987's Stars

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python91.2k3k2.7k9.6k

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  46.7k2.2k5k2.8k

• wangzheng0822/algo

  数据结构和算法必知必会的50个代码实现

  Language:Python22.9k8331257.1k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.6k1604147.9k

• Jack-Cherish/PythonPark

  Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

  Language:Python9.4k16931.6k

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python9k268155.1k

• rdcolema/tensorflow-image-classification

  CNN for multi-class image recognition in tensorflow

  Language:Jupyter Notebook3902219193

• KGPML/Hyperspectral

  Deep Learning for Land-cover Classification in Hyperspectral Images.

  Language:Jupyter Notebook2952218136

• Azure/pixel_level_land_classification

  Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

  Language:Jupyter Notebook27689997

• syamkakarla98/Satellite_Imagery_Analysis

  Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

  Language:Jupyter Notebook23666121

• GeneralLi95/deepglobe_land_cover_classification_with_deeplabv3plus

  DeepGlobe Land Cover Classification Challenge遥感影像语义分割

  Language:Python18721533

• zhaozhe987/Satellite_Imagery_Analysis

  Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

  Language:Jupyter Notebook1000