Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "

Annotated vanilla implementation in PyTorch of the Transformer model introduced in 'Attention Is All You Need'.

Here, we will provide a PyTorch regime to handle the partial differential equation solution of the heat equation by executing Deep Kolmogorov Method of Beck et. al.

This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieve…

PyTorch implementation of normalization-free LLMs investigating entropic behavior to find desirable activation functions