GroupViT VS EfficientFormer

Compare GroupViT vs EfficientFormer and see what are their differences.

GroupViT

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. (by NVlabs)
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GroupViT EfficientFormer
1 2
746 1,011
1.5% 2.3%
0.0 3.3
almost 3 years ago over 1 year 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.

GroupViT

Posts with mentions or reviews of GroupViT. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing GroupViT and EfficientFormer you can also consider the following projects:

CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

predictive-spy - Spying on Apple’s new predictive text model

x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

bonito - A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

dytox - Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

Text-to-Image-Synthesis - Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

PyTorch-Model-Compare - Compare neural networks by their feature similarity

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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