CeiT
T2T-ViT
| CeiT | T2T-ViT | |
|---|---|---|
| 1 | 2 | |
| 95 | 1,120 | |
| - | 0.7% | |
| 0.0 | 0.0 | |
| about 3 years ago | 6 months ago | |
| Python | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CeiT
-
[2103.11816] Incorporating Convolution Designs into Visual Transformers
Code: https://github.com/rishikksh20/CeiT
T2T-ViT
What are some alternatives?
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]