There are 9 repositories under encoder-decoder-model topic.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
High Quality Monocular Depth Estimation via Transfer Learning
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Invariant representation learning from imaging and spectral data
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
Noise removal from images using Convolutional autoencoder
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
An Implementation of Encoder-Decoder model with global attention mechanism.
📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.
Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator :stuck_out_tongue_closed_eyes: BDW it uses Pytorch framework and Python3.
Encoder-Decoder for Face Completion based on Gated Convolution
[Deep Learning] An end-to-end deep neural network that converts screenshots to Bootstrap (HTML/CSS) code
Explore diverse computer vision projects using Transfer Learning(TL), Convolutional Neural Networks (CNN), Autoencoder and more in this collaborative repository
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
HTSM Masterwork
Source Code Generation Based On User Intention Using LSTM Networks
Using a CNN-LSTM hybrid network to generate captions for images
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
Encoder-Decoder model for Semantic Role Labeling
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
Experimental project for AI and NLP based on Transformer Architecture
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
Predictive Frame Interpolation (PIF) Model for video frame prediction and generation. An AI model that could infer a new frame between two existing sequential frames of a video We trained a GAN using youtube footage to predict it’s own existing frames
An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code
Abdominal Organ Segmentation using Multi Decoder Network (MDNet) [Accepted at ICASSP 2025]
Code of our work "Maneuver-based Anchor Trajectory Hypotheses at Roundabouts".
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
Gated Pretrained Transformer model for robust denoised sequence-to-sequence modelling
Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).
Deep Learning LSTM language translation model built with Keras using Neural Machine Translation with seq2seq encoder-decoder architecture
Vector-Quantized Generative Adversarial Networks