Tao Jiang's repositories
carbon-budget
Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally
ChangeDetection
A framework for change detection using PyTorch
DataScienceStudyNotes
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
ForC
Global Forest Carbon Database
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
Keras-GAN
Keras implementations of Generative Adversarial Networks.
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.
learnopencv
Learn OpenCV : C++ and Python Examples
machine-learning
Practical Full-Stack Machine Learning
Medical-Transformer
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
MLP-Mixer-tf2
MLP-Mixer implementation(MLP-Mixer: An all-MLP Architecture for Vision) This is an unofficial implementation. https://arxiv.org/pdf/2105.01601v1.pdf
Polyp-Segmentation-using-UNET-in-TensorFlow-2.0
Implementing polyp segmentation using the U-Net and CVC-612 dataset.
pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
S4A
Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018