🧠 Diffusion Models Implementation
Implementation of the Denoising Diffusion Models paper on CIFAR-10, using a pretrained U-Net and sinusoidal time embeddings.
Content tagged with "pytorch"
Implementation of the Denoising Diffusion Models paper on CIFAR-10, using a pretrained U-Net and sinusoidal time embeddings.
A lightweight and flexible early stopping utility for PyTorch training loops, inspired by the Keras/TensorFlow EarlyStopping callback.
Implementation of transformer encoder-decoder model based on the Attention is all you need paper.
Miniaturizing Acoustic Scene Classification from 864 MFLOPs to 1.6 MFLOPs using Knowledge Distillation and Depthwise Convolutions.