HugsVision VS poolformer

Compare HugsVision vs poolformer and see what are their differences.

HugsVision

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision (by qanastek)
huggingface Transformers Computer Vision pretrained-models image-classification semantic-segmentation object-detection image-generation pythorch pytorch-transformers Yolo vit deit detr Pytorch Deep Learning Machine Learning state-of-the-art Bert torchvision
Source Code
pypi.org
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poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral) (by sail-sg)
Transformer mlp pooling image-classification Pytorch
Source Code
arxiv.org
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HugsVision poolformer
1 3
188 1,226
- 1.6%
0.0 0.0
9 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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.

HugsVision

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

poolformer

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

What are some alternatives?

When comparing HugsVision and poolformer you can also consider the following projects:

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

fashionpedia-api - Python API for Fashionpedia Dataset

SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

TFLiteClassification - TensorFlow Lite Image Classification Python Implementation

CoordConv

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

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

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Vision-Project-Image-Segmentation

ru-dalle - Generate images from texts. In Russian

HugsVision vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning poolformer vs pytorch-seq2seq HugsVision vs fashionpedia-api poolformer vs SpecVQGAN HugsVision vs ganspace poolformer vs TFLiteClassification HugsVision vs CoordConv poolformer vs FunMatch-Distillation HugsVision vs Transformer-Explainability poolformer vs Transformer-in-Transformer HugsVision vs Vision-Project-Image-Segmentation poolformer vs ru-dalle