suyanzhou626

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

AUNet

Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

Dataset-Pre-Processing-for-High-Resolution-Images

Dataset preprocessing for high resolution images (such as, Potsdam and Vaihingen )

distance_transform_maps

distance transform maps

face_recognition.pytorch

Deep Face Recognition in PyTorch

FeDNet-BSPC

Code is coming soon if paper is accepted.

predict_sliding

eval semantic segmentation using sliding and tta

UACANet

Official PyTorch implementation of UACANet: Uncertainty Aware Context Attention for Polyp Segmentation

UNet-Zoo

Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.

suyanzhou626/FeDNet-BSPC

Code is coming soon if paper is accepted.

suyanzhou626/ACC-UNet

ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets

suyanzhou626/adaptive-attention-in-cv

Implementation for our paper exploring a novel 2D adaptive attention span kernel in computer vision.

suyanzhou626/AgileFormer

This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

suyanzhou626/BCDU-Net

BCDU-Net : Medical Image Segmentation

suyanzhou626/BS-Loss

suyanzhou626/CBIM-Medical-Image-Segmentation

suyanzhou626/DSCNet

Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

suyanzhou626/EGE-UNet

This is the official code repository for "EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation".

suyanzhou626/fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

suyanzhou626/GeoSeg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

suyanzhou626/GRC-Cache

suyanzhou626/hecktor

suyanzhou626/ImageNetModel

Official ImageNet Model repository

suyanzhou626/llama-moe

⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

suyanzhou626/MedicalSeg

suyanzhou626/MegaMedical

Official repository for processing files and notes amongst a large variety of datasets.

suyanzhou626/MICFormer

implement of "Multimodal Information Interaction for Medical Image Segmentation."

suyanzhou626/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

suyanzhou626/MWDCNN

Multi-stage image denoising with the wavelet transform (Pattern Recognition 2022)

suyanzhou626/picai_baseline

Baseline AI models for 3D csPCa detection/diagnosis in bpMRI

suyanzhou626/PnPNet

suyanzhou626/Polyp-Segmentation-ISBI2023

suyanzhou626/ReST-MCTS

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)

suyanzhou626/ScaleFormer

suyanzhou626/ssformer

suyanzhou626/T-Mamba

T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation.

suyanzhou626/torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

suyanzhou626/unfoldNd

(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch

suyanzhou626/XNet

[ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images