sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
-
Updated
May 3, 2024 - Python
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)
Add a description, image, and links to the imagenet1k topic page so that developers can more easily learn about it.
To associate your repository with the imagenet1k topic, visit your repo's landing page and select "manage topics."