Using image classification with ConvMixer
Convolutional Initialization for Data-Efficient Vision Transformers
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras
In this repository, a very informative and comprehensive implementation of ConvMixer architecture is provided for educational purposes using PyTorch.
Structured Initialization for Attention in Vision Transformers
This repository hosts code for converting the original ConvMixer models (PyTorch) to TensorFlow.
Implementation of ConvMixer for bird audio classification instead of a conventional CNN in PyTorch.
ECE-GY 7123 mini project at NYU
A Keras implementation of the ConvMixer architecture from the paper "Patches are all you need?", built from scratch using TensorFlow and Python.
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