zqg32100

zqg32100's Stars

• huggingface/transformers

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

  Language:Python136k1.1k16.3k27.3k

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1052071.3k

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.8k836591.7k

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8.4k542.4k2.6k

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k10241400

• opengeos/leafmap

  A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

  Language:Python3.2k60279390

• yangwohenmai/LSTM

  基于LSTM的时间序列预测研究

  Language:Python2.9k2020708

• SwinTransformer/Swin-Transformer-Semantic-Segmentation

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

  Language:Python1.2k1292222

• carpedm20/lstm-char-cnn-tensorflow

  in progress

  Language:Python7696024243

• yingkaisha/keras-unet-collection

  The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

  Language:Python6751365185

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python667182668

• AstarLight/Satellite-Segmentation

  Language:Python6191680232

• PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

  Language:Python6036697

• anxiangsir/urban_seg

  Remotes Sensing Semantic Segmentation

  Language:Python4251237138

• justchenhao/BIT_CD

  Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

  Language:Python38545085

• Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images

  遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python

  Language:Python2046548

• WangZhenqing-RS/Unet_RSimage_Multi-band_Multi-class

  keras遥感图像Unet语义分割(支持多波段&多类)

  Language:Python1441039

• EthanChenYZ/Time-Series-Forecast

  Codes for time series forecast

  Language:Jupyter Notebook14331142

• saeedkhaki92/CNN-RNN-Yield-Prediction

  This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"

  Language:Python14351260

• Hua-YS/Semantic-Segmentation-with-Sparse-Labels

  codes and data for learning from sparse annotations

  Language:Python53226

• chaineypung/Pytorch-Swin-Unet-V2

  Swin Unet V2 is a modified version of Swin Unet based on Swin Transfomer V2.

  Language:Python50138

• lixiang-ucas/Building-A-Nets

  Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks

  Language:Python324311

• kkgadiraju/multi-modal-crop-classification

  Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020

  Language:Python275315

• vinayakkarande/Crop-Yield-Prediction-Using-CNN-LSTM-

  Crop yield prediction on remote sensing data using CNN

  Language:Jupyter Notebook250111

• zyxu1996/CCTNet

  Online !!! A kind of fusion method combining CNN and Transformer on remote sensing segmentation task.

  Language:Python18111

• 25jia/U-Net

  U-NET used for semantic segmentation of cultivated land in remote sensing image

  Language:Python9212

• huangfujue/winter-wheat-extraction-methods-based-on-different-time-series-of-vegetation-indices

  This part of the code is my thesis code written in 2021. Contains GEE code and matable code. All codes have source code links in the first line, which are commented out in the first line. The realization of the whole paper includes MATLAB code and GEE code, which is JS code and needs to be run on the Web side.The following is the source link, but it may fail if time passes too long. But for now it works, and all the code has corresponding files. Time series generation code https://code.earthengine.google.com/c4b4d403930f1f4571e2a29ea17e22c6 SG filtering code https://code.earthengine.google.com/d4f64406e38973b6baa6a302d6fd8a64 View SG filter effect code https://code.earthengine.google.com/2559fbb168975246f62501c5729b03c2 Calculate the Pt-DTW value code https://code.earthengine.google.com/5d3eb964668ac057a7ed94af27c3217a Sample selection code https://code.earthengine.google.com/0edb6fb6fb913d5191d381a0f47fda9a View the median reference curve code https://code.earthengine.google.com/8a81215c6702433dd15683e570d98abe The LSM model generates mixed curve code https://code.earthengine.google.com/3d72c3aaa2f0e28598b8c7a2f7d2fcc3 Threshold and precision code https://code.earthengine.google.com/d51e95b077bfaaf9343f33f3820a7158

  8102

• asimniazi63/CDL-Segmentation

  Paper Portfolio: "A Deep Learning based comparative study for Land cover and Crop type Classification "

  7211

• vedantsakhardande/Crop-Production-Prediction

  Rice Production Prediction using RNN with LSTM providing a way for the farmers to accurately plan their farming activities according to their needs to maximize the outcomes. Also using NLP answer to the queries of farmers are provided.

  Language:Python5003

• GenghisYoung233/DongbeiCrops

  Crop Type Identification using deep learning

  Language:Python44