go-ahead-maker

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Pinned Repositories

CoaT
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
Language:Jupyter Notebook0 0 00
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Language:Python1 0 00
InternImage
00
loss-landscape
Code for visualizing the loss landscape of neural nets
Language:Python0 0 00
M-CSANet
Language:Python1 1 00
UniFormer
[ICLR2022] official implementation of UniFormer
Language:Jupyter Notebook0 0 00
DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Language:Python60 1 84
SG-Former
Language:Python81 1 611
DMAE
[CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
Language:Python100 5 85

go-ahead-maker's Repositories

go-ahead-maker/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Language:Python1 0 00
go-ahead-maker/M-CSANet
Language:Python1 1 00
go-ahead-maker/CoaT
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
Language:Jupyter Notebook0 0 00
go-ahead-maker/InternImage
00
go-ahead-maker/loss-landscape
Code for visualizing the loss landscape of neural nets
Language:Python0 0 00
go-ahead-maker/UniFormer
[ICLR2022] official implementation of UniFormer
Language:Jupyter Notebook0 0 00