dytox
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022 (by arthurdouillard)
CeiT
Implementation of Convolutional enhanced image Transformer (by rishikksh20)
| dytox | CeiT | |
|---|---|---|
| 1 | 1 | |
| 132 | 95 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 2 years ago | about 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
dytox
Posts with mentions or reviews of dytox.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Using special tokens for a domain-specific language in transformers
Code for https://arxiv.org/abs/2111.11326 found: https://github.com/arthurdouillard/dytox
CeiT
Posts with mentions or reviews of CeiT.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[2103.11816] Incorporating Convolution Designs into Visual Transformers
Code: https://github.com/rishikksh20/CeiT
What are some alternatives?
When comparing dytox and CeiT you can also consider the following projects:
ml-cvnets - CVNets: A library for training computer vision networks
vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision