Zhongyang LU's repositories
3D-Medical-Imaging-Preprocessing-All-you-need
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
AlphaTree-graphic-deep-neural-network
深度神经网络(DNN)与对抗神经网络(GAN)模型总览图示，建立模型发展路书(roadmap),方便大家的理解与学习
AnoDDPM
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Awesome-Foundation-Models
A curated list of foundation models for vision and language tasks
coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
Coding-Now
学习记录的一些笔记，以及所看得一些电子书eBooks、视频资源和平常收纳的一些自己认为比较好的博客、网站、工具。涉及大数据几大组件、Python机器学习和数据分析、Linux、操作系统、算法、网络等
CTseg
Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
google-research
Google Research
Graph-Neural-Network-Note
A blog for understanding graph neural network
ModelsGenesis
Official Keras Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
RIDE-LongTailRecognition
[ICLR 2021 Spotlight] Pytorch implementation for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
vision
Datasets, Transforms and Models specific to Computer Vision
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch