Yang-YuLin

Yang-YuLin's Stars

• USC-IGC/RNN_Slice_BrainAge

  Encoding 3D Structural MRI as sequence of slices and application to age prediction

  Language:Jupyter Notebook181

• wolny/pytorch-3dunet

  3D U-Net model for volumetric semantic segmentation written in pytorch

  Language:Jupyter Notebook2k497

• shengfly/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  2

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell51k11.4k

• shengfly/global-local-transformer

  Global-local Transformer for brain age prediction

  Language:Python379

• no-saint-no-angel/BianqueNet

  Language:Python127

• csguide-dabai/Programmer-look-at-China

  介绍**各二线以上城市的互联网环境以及生活成本

  Language:Shell3.1k250

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k50.8k

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python72795

• xjtushujun/meta-weight-net

  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  Language:Python27968

• stalebi2/deepASPECTS

  deep learning model to automatically classify patient’s CT scans with the correct ASPECTS score

  Language:Python3

• Yao-DD/S3N

  Language:Python8626

• Liunaijiaaa/CTA-ASPECTS-Segmentation

  Language:Python1

• WuChanada/Acute-ischemic-lesion-segmentation-in-NCCT

  Language:Python75

• scp19801980/Facial-expression-recognition

  For the facial expression recognition task in complex backgroud, wo proposed a new method based on a multiple branch cross-connected convolutional neural network (MBCC-CNN) for facial expression recognition. The proposed method can fuse the features of each branches more effectively, which solves the problem of insufficient feature extraction of each branches and increases the recognition performance.

  Language:Python91

• FlyEgle/CMT-pytorch

  CMT: Convolutional Neural Networks Meet Vision Transformers

  Language:Python11814

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.9k3k

• wilile26811249/CMT_CNN-meet-Vision-Transformer

  A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.

  Language:Python6514

• HanxunH/SCELoss-Reproduce

  Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

  Language:Python18116

• JiarunLiu/Co-Correcting

  Language:Python329

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k1.9k

• TACJu/TransFG

  This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

  Language:Python38487

• szagoruyko/wide-residual-networks

  3.8% and 18.3% on CIFAR-10 and CIFAR-100

  Language:Lua1.3k293

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.6k7.9k

• sundw2014/DKS

  Deeply-supervised Knowledge Synergy (CVPR'2019)

  Language:Python678

• wofmanaf/ResT

  This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

  Language:Python27728

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• klrc/RACNN-pytorch

  pytorch implementation of Recurrent Attention CNN.

  Language:Python4815

• ZhaoLizz/PCT-MCD

  Code for paper "Classifying In-Place Gestures with End-to-End Point Cloud Learning"

  Language:Python1

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2k205