yncao Goto Github PK

accv_fgr_challenge

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-fgvc

baa_cub

blockchain_guide

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

cal

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

canvas-vae

Implementation of CanvasVAE: Learning to Generate Vector Graphic Documents, ICCV 2021

cf-vit

Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"

cnl-icip2020

Associating Multi-Scale Receptive Fields for Fine-grained Recognition (ICIP2020)

cplusplusthings

C++那些事

cs224n-winter-together

an Open Course Platform for Stanford CS224n (2020 Winter)

cuda2dwavelettransform

The parallel version of 2D wavelet transfrom on GPUs with CUDA

danbovideo

一个flutter视频类App

dat

Repository of Vision Transformer with Deformable Attention (CVPR2022)

dawn_wacv2020

It contains the code for the paper Deep Adaptive Wavelet Network

deeplayout

PyTorch implementation of "LayoutTransformer: Layout Generation and Completion with Self-attention" to appear in ICCV 2021

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detr

End-to-End Object Detection with Transformers

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dpt

DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)

dvit_repo

gansformer

Generative Adversarial Transformers

gitignore

A collection of useful .gitignore templates

gnnpapers

Must-read papers on graph neural networks (GNN)

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

hcsc

[CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)

hrfae

Official implementation for paper High Resolution Face Age Editing

hse

hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.