Records found: 3
'Step-by-step Tinygrad guide that builds tensors, attention, transformer blocks and a mini-GPT from scratch, with full code and experiments on training and kernel fusion.'
A hands-on guide to advanced computer vision workflows using TorchVision v2 transforms, MixUp/CutMix augmentation, a modern attention-equipped CNN architecture, and robust training practices.
'A practical tutorial demonstrating a multi-scale convolutional neural network with attention for classifying synthetic DNA sequences, including full code and visualization for interpretability.'