T2T-ViT
CeiT
| T2T-ViT | CeiT | |
|---|---|---|
| 2 | 1 | |
| 1,120 | 95 | |
| 0.7% | - | |
| 0.0 | 0.0 | |
| 6 months ago | about 3 years ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | MIT License |
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T2T-ViT
CeiT
-
[2103.11816] Incorporating Convolution Designs into Visual Transformers
Code: https://github.com/rishikksh20/CeiT
What are some alternatives?
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022