T2T-ViT
AutoML
| T2T-ViT | AutoML | |
|---|---|---|
| 2 | 1 | |
| 1,120 | 272 | |
| 0.7% | - | |
| 0.0 | 8.1 | |
| 6 months ago | over 2 years ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
T2T-ViT
AutoML
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.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
CeiT - Implementation of Convolutional enhanced image Transformer
Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS