EfficientFormer
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022] (by snap-research)
ml-cvnets
CVNets: A library for training computer vision networks (by apple)
EfficientFormer | ml-cvnets | |
---|---|---|
2 | 4 | |
947 | 1,688 | |
1.1% | 1.8% | |
3.3 | 4.8 | |
9 months ago | 6 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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.
EfficientFormer
Posts with mentions or reviews of EfficientFormer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-16.
-
A look at Apple’s new Transformer-powered predictive text model
I'm pretty fatigued on constantly providing references and sources in this thread but an example of what they've made availably publicly:
https://github.com/snap-research/EfficientFormer
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Snap and Northeastern University Researchers Propose EfficientFormer: A Vision Transformer That Runs As Fast As MobileNet While Maintaining High Performance
Continue reading | Check out the paper, github
ml-cvnets
Posts with mentions or reviews of ml-cvnets.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost
https://github.com/apple/ml-cvnets/tree/main/examples/byteformer - Where the code will be located once uploaded
- CVNets - A library for training computer vision networks
- CVNets – A library for training computer vision networks
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Apple ML Researchers Introduce ‘MobileViT’: A Light-Weight And General-Purpose Vision Transformer For Mobile Devices
Github: https://github.com/apple/ml-cvnets
What are some alternatives?
When comparing EfficientFormer and ml-cvnets you can also consider the following projects:
PyTorch-Model-Compare - Compare neural networks by their feature similarity
semantic-segmentation-pytorch - Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset