A simple PyTorch implementation for classifying handwritten digits from the MNIST dataset. The project includes data preprocessing, model training, and evaluation, along with a visualization of a test image and its predicted label.

implementation of novel Segformer neural network variants dubbed "LRSegformer" which includes Lipschitz-regularized MLP decoder layers to improve training stability and prevent overfitting