#Attention-model
Showing 13 of 13 repositories tagged #attention-model, ranked by stars
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Keras Attention Layer (Luong and Bahdanau scores).
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
Implementation of the Swin Transformer in PyTorch.
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Build high-performance AI models with modular building blocks
Neural Machine Translation with Keras
A Structured Self-attentive Sentence Embedding
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, MacOS), multimodal model for text and images and so on.
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
HBAM: Hierarchical Bi-directional Word Attention Model