sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

ImageNet-1K data download, processing for using as a dataset

Pretrained weights of Residual Attention Network on ImageNet

PyTorch implementation of 'ViT' (Dosovitskiy et al., 2020) and training it on CIFAR-10 and CIFAR-100

MobileNetV1 implemenation via Pytorch. Training with ImageNet1K dataset. Evaluate inference result. Measure inference speed and compare to other models (VGG16, GoogleNet)