MLP-Mixer-CIFAR10 This repository implements MLP-Mixer as proposed in MLP-Mixer: An all-MLP Architecture for Vision. The paper introduces an all MLP (Multi-layer Perceptron) architecture for computer vision tasks. Yannic Kilcher walks through the architecture in this video. Experiments reported in this repository are on CIFAR-10. What’s included? Distributed training with mixed-precision. Visualization of the token-mixing MLP weights. A TensorBoard callback to keep track of the learned linear projections of the image patches. Notebooks Note: These notebooks are runnable on Colab. If […]

PyGAD: Genetic Algorithm in Python This project is part of PyGAD which is an open-source Python 3 library for building the genetic algorithm and optimizing machine learning algorithms (Keras & PyTorch). Check documentation of the GeneticAlgorithmPython project in the PyGAD’s documentation: https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html PyGAD supports different types of crossover, mutation, and parent selection. PyGAD allows different types of problems to be optimized using the genetic algorithm by customizing the fitness function. The library is under active development and more features are […]