Official implementation of SeerAttention - a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post-training time.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
This is a lepidodendron fossil. A lepidodendron is a prehistoric type of tree that grew 359-million years ago, up to 130 feet tall, and had a 7-foot diameter. Tristen Klavenga’s discovery went viral ...