encoder-decoder topic

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

ntrang086

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

Pendulibrium

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

yulinliu101

Pytorch implementations of ConvLSTM and ConvGRU modules with examples

aserdega

PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

vinceecws

封装了一些Java常用的功能

code4everything

对话机器人，包含了看图说话，单轮对话和多轮对话，tensorflow 2.0 pytorch 1.3.1 GPT-2

biuping

Using pretrained encoder and language models to generate captions from multimedia inputs.

TheoCoombes

Enhances faces on images and automatically beautifies them using StyleGan2 and latent space exploration

ju-leon

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

tanishqgautam