yxltql Goto Github PK

-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

cnn_flood_extent

Python codes for 1D CNN and 2D U-Net model to predict the flood extent. The data input are remote sensing data and discharge data.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

data-science-notes

数据科学的笔记以及资料搜集

deepwatermap

a deep model that segments water on multispectral images

dl-

gaussian-process-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

geebook

Earth Engine and Geemap: Geospatial Data Science with Python

gpt_api_free

Free ChatGPT API Key，免费ChatGPT API

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

lihua_lab

【李华的研究室】系列相关代码

localhostai

machine-learning

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

paddlers

Awesome Remote Sensing Toolkit based on PaddlePaddle.

rs_repo_index

Techniques for deep learning with satellite & aerial imagery

toys

Toy models, experiments and random notes on machine learning and deep learning.

watergap2

Source code for the WaterGAP 2 model family.