WANGYAO98

WANGYAO98's Stars

• Candy-CY/Hyperspectral-Image-Classification-Models

  收录及复现的高光谱遥感图像分类模型

  Language:Python46162

• lcylmhlcy/Awesome-algorithm-interview

  算法工程师(人工智能CV方向)面试问题及相关资料

  2.4k424

• satellite-image-deep-learning/datasets

  Datasets for deep learning with satellite & aerial imagery

  57168

• DevSinghSachan/ssl_text_classification

  Semi Supervised Learning for Text-Classification

  Language:Python8315

• linhezheng19/CAT

  Official implement of "CAT: Cross Attention in Vision Transformer".

  Language:Python13817

• rishikksh20/CrossViT-pytorch

  Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

  Language:Python17818

• ornldaac/above-airborne-avirisng-python

  Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns

  Language:Jupyter Notebook2913

• EricBrock/RSI-Net

  Official Pytorch code of "A Deep Multi-task Convolutional Neural Network for Remote Sensing Image Super-resolution and Colorization"

  Language:Python151

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.1k1.4k

• csjliang/LDL

  Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

  Language:Python25925

• open-mmlab/mmgeneration

  MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

  Language:Python1.9k226

• xiaom233/BSRN

  Blueprint Separable Residual Network for Efficient Image Super-Resolution

  Language:Python16213

• open-mmlab/mmagic

  OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

  Language:Jupyter Notebook6.8k1k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python51.9k5.4k

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k361

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k484

• adamian98/pulse

  PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

  Language:Python7.8k1.5k

• kuijiang94/EEGAN

  Edge Enhanced GAN For Remote Sensing Image Super-Resolution

  Language:Python9217

• XPixelGroup/ClassSR

  (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

  Language:Python35242

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.5k1.1k

• 52CV/CVPR-2022-Papers

  63761

• ywang512/SRGAN-SuperResolutionGAN

  SRGAN on satellite images implemented in PyTorch

  Language:Jupyter Notebook61

• wjwjww/OLI2MSI

  a dataset for remote sensing super-resolution

  Language:Python325

• remicres/sr4rs

  Super resolution for remote sensing

  Language:Python15719

• Jing25/SR_RemoteSensing

  Super-Resolution deep learning models for remote sensing data

  Language:Jupyter Notebook183

• YapengTian/Single-Image-Super-Resolution

  A collection of high-impact and state-of-the-art SR methods

  1.8k374

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k1.2k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python22.6k4.2k

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k639

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook19.9k5.4k