JJJTF

JJJTF's Stars

• haitongli/knowledge-distillation-pytorch

  A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

  Language:Python1.9k346

• PolarisShi/distillation

  Language:Python7524

• XiaohanYu-GU/MaskCOV

  Datasets and Code for MaskCOV (accepted in Pattern Recognition)

  Language:Python74

• yitu-opensource/T2T-ViT

  ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

  Language:Jupyter Notebook1.2k176

• ziplab/HVT

  [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"

  Language:Python315

• abhuse/polyloss-pytorch

  Polyloss Pytorch Implementation

  Language:Python427

• 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:Python39390

• kentaroy47/vision-transformers-cifar10

  Let's train vision transformers (ViT) for cifar 10!

  Language:Python569113

• google-research/vision_transformer

  Language:Jupyter Notebook10.7k1.3k

• chencodeX/triplet-loss-pytorch

  A generic triplet data loader for image classification problems,and a triplet loss net demo.

  Language:Python12727

• XiaohanYu-GU/Ultra-FGVC

  This work is accepted in ICCV2021.

  5

• Xiaoqiang-Yan/TCYB-DMTC

  Deep multi-task clustering for unsuperivsed image categorization

  Language:Python21

• Ugenteraan/Deep_Hierarchical_Classification

  PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

  Language:Python8920

• theblackcat102/dynamic-routing-capsule-cifar

  CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras

  Language:Python3613

• artelab/Multi-modal-classification

  This project contains the code of the implementation of the approach proposed in I. Gallo, A. Calefati, S. Nawaz and M.K. Janjua, "Image and Encoded Text Fusion for Multi-Modal Classification", DICTA2018, Canberra, Australia.

  Language:Python209

• miafei/NodeNorm

  Language:Python303

• vermaMachineLearning/Universal-Graph-Embedding-Neural-Network

  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

  Language:Python4012

• vermaMachineLearning/Graph-Capsule-CNN-Networks

  Graph Capsule Convolutional Neural Networks

  366

• Sophia-11/Awesome-CVPR-Paper

  CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章

  728114

• benedekrozemberczki/CapsGNN

  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

  Language:Python1.2k199

• DropEdge/DropEdge

  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

  Language:Python47070

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k781

• shenweichen/GraphNeuralNetwork

  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

  Language:Python800183

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.2k3k

• dragen1860/GCN-PyTorch

  Graph Convolution Network for PyTorch

  Language:Python39788

• gskielian/JPG-PNG-to-MNIST-NN-Format

  Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format

  Language:Python217125

• HongyangGao/Graph-U-Nets

  Pytorch implementation of Graph U-Nets (ICML19)

  Language:Python523101

• RexYing/diffpool

  Language:Python485136

• xiangyue9607/BioNEV

  Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

  Language:Python22677

• yao8839836/text_gcn

  Graph Convolutional Networks for Text Classification. AAAI 2019

  Language:Python1.4k437