Starred repositories
Restoring and attributing ancient texts using deep neural networks
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Exploring attention weights in transformer-based models with linguistic knowledge.
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
deep learning for image processing including classification and object-detection etc.
Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
[EMNLP'19] Summary for Transformer Understanding
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
李宏毅2021机器学习深度学习笔记PPT作业
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
End-to-End Object Detection with Transformers
A LaTeX beamer theme template for Tsinghua students.
Reference models and tools for Cloud TPUs.
Best Practices, code samples, and documentation for Computer Vision.
Restoration of defocused and blurred photos/images
首个临床级别的 AI 系统可用源码
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
The PatchCamelyon (PCam) deep learning classification benchmark.
Cancer metastasis detection with neural conditional random field (NCRF)