AutoML VS T2T-ViT

Compare AutoML vs T2T-ViT and see what are their differences.

AutoML

This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream] (by microsoft)

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet (by yitu-opensource)
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AutoML T2T-ViT
1 2
272 1,119
- 0.6%
8.1 0.0
over 2 years ago 6 months ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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.

AutoML

Posts with mentions or reviews of AutoML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

T2T-ViT

Posts with mentions or reviews of T2T-ViT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-12.

What are some alternatives?

When comparing AutoML and T2T-ViT you can also consider the following projects:

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]

CeiT - Implementation of Convolutional enhanced image Transformer

MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction

Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS