EdgeNeXt provides a efficient amalgamated architecture combining convolutional neural networks with transformer blocks for mobile vision tasks. The model is designed for edge deployment, achieving strong ImageNet classification accuracy with low latency suitable for mobile devices. The repository includes pretrained weights and training scripts for the classification task.