Popular GitHub Repositories for Attn

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Multi-turn dialogue baselines written in PyTorch

Pytorch Implementation of the sparse attention from the paper: "Generating Long Sequences with Sparse Transformers"

Official implementation for "QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation" (CVPR 2022)

The open source implementation of the cross attention mechanism from the paper: "JOINTLY TRAINING LARGE AUTOREGRESSIVE MULTIMODAL MODELS"

Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.

Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.

Shuffle GPT-2's layers and have it prompt an image. Node works with any model - Flux, SD3, SDXL...

Compile environment for Pytorch cuda