classification VS convolution-vision-transformers

Compare classification vs convolution-vision-transformers and see what are their differences.

classification

Classification of the MNIST dataset using various Deep Learning techniques (by giakoumoglou)

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers (by rishikksh20)
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classification convolution-vision-transformers
1 2
20 224
- -
0.0 0.0
almost 2 years ago over 3 years ago
Python Python
MIT License MIT License
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classification

Posts with mentions or reviews of classification. We have used some of these posts to build our list of alternatives and similar projects.
  • PyTorch Ensemble model
    1 project | /r/pytorch | 5 Jan 2022
    I created a CNN for a classification problem using 2 different techniques: 1) conventional CNN and 2) contrastive learning (SimCLR framework). As a reference code, I attack the starting point of my coding: https://github.com/giakou4/MNIST_classification.

convolution-vision-transformers

Posts with mentions or reviews of convolution-vision-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

When comparing classification and convolution-vision-transformers you can also consider the following projects:

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

MLP-Mixer-pytorch - Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

EasyCV - An all-in-one toolkit for computer vision

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

sharpened-cosine-similarity - An alternative to convolution in neural networks

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

CvT - This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

autogluon - Fast and Accurate ML in 3 Lines of Code

sigmarsgarden - Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching

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