mrsuperniu Goto Github PK

apcnet

The code in this repository implements the "APC-Net: A novel semantic segmentation model for plastic-covered greenhouses and plastic-mulched farmlands separation from very high resolution remote sensing imagery".

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

books

常用书籍

code_e-vit

cs-self-learning

计算机自学指南

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-image-processing

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

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

earthengine-workshop

Manual and code for Philip Kraaijenbrink's Google Earth Engine workshop

examples_pytorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

github-chinese-top-charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

googleearthengine_tutorial

Tutorials and content created by Earth Engine users, for Earth Engine users

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.

kherlen_fvc_bilstm

Fractional Vegetation Cover Monthly Dataset of the Kherlen River Basin in 2022

learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等

mediacrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫

pv_scientificdata_classification_code

The GEE code for PV power stations classification based on Sentinel-2 imagery and DEM data. The code is written in JavaScript, including all the mentioned steps in the paper, A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020, including feature calculation, random forest training, etc.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-receptive-field

Compute CNN receptive field size in pytorch in one line

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

receptive_field

Compute receptive fields of your favorite convnets

remote-sensing-for-solid-waste-mapping

RS4SW is available at https://www.aliyundrive.com/s/gtTxDorTXQt

remotesensing_dl_techniques

Techniques for deep learning with satellite & aerial imagery