hanhao20190402

hanhao20190402's Stars

• sdtaylor/pyPhenology

  Plant phenology models in python with a scikit-learn inspired API

  Language:Python3212

• eco-hydro/phenofit-scripts

  phenofit examples in version 3.0

  Language:R234

• gee-hydro/gee_docs

  Document of GEE JavaScript Packages

  Language:HTML117

• eco-hydro/phenofit

  R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

  Language:R7533

• centreborelli/tsd

  Time Series Downloader for satellite images

  Language:Python4219

• Chintan2108/Satellite-Timeseries-Extractor-Tool

  An interactive python-based tool to download time-series data for all sensors available on Google Earth Engine's data catalog.

  Language:Python52

• lewistrotter/PhenoloPy

  Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

  Language:Jupyter Notebook7818

• dslisleedh/SwinIR-tensorflow

  Language:Python3

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• fannymonori/TF-LapSRN

  Tensorflow implementation of LapSRN super-resolution model.

  Language:Python5335

• casus/cvdm

  Language:Python71

• zhuyuzhu/Secondhand-goods-on-campus

  校园二手交易微信小程序，二手交易平台，校园二手书，校园二手物品交易

  Language:JavaScript42796

• BUPTLdy/Land_Use_CNN

  Classification in Remote Sensing Optical Images by CNNs

  Language:Python11044

• anishreddy3/Crack-Semantic-Segmentation

  Real time crack segmentation using PyTorch, OpenCV and ONNX runtime

  Language:Python6021

• mrFahrenhiet/CrackSegmentationDeepLearning

  Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method obtained SOTA results on Crack500 dataset

  Language:Python394

• Subham2901/Concrete_Crack_Segmentation

  A Unet based modified architecture for crack detection

  Language:Jupyter Notebook388

• bleedline/aimoneyhunter

  ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.

  14k1.3k

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python4k384

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python6.1k1.1k

• remicres/sr4rs

  Super resolution for remote sensing

  Language:Python17119

• pengsida/learning_research

  本人的科研经验

  6.1k365

• qspinat/Super_Resolution_DL2020

  Repo for the MVA2020 Deep Learning Project

  Language:Python11

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python872115

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.6k1.9k

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.4k2.6k

• fraserxu/diagram-gpt

  Draw flowchart, sequence diagram, class diagram, user journey, gantt, C4C diagram with nature language.

  Language:TypeScript29271

• remicres/otbtf

  Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)

  Language:C++16139

• chenfei-wu/TaskMatrix

  Language:Python34.6k3.3k

• final-0/Real-ESRGAN-bicubic

  Language:Python8

• nekhtiari/image-similarity-measures

  :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

  Language:Python59568