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
Noise removal from images using Convolutional autoencoder
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.
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.
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
Encoder-Decoder for Face Completion based on Gated Convolution
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
đź“ş An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
Source Code Generation Based On User Intention Using LSTM Networks
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
[Deep Learning] An end-to-end deep neural network that converts screenshots to Bootstrap (HTML/CSS) code
Encoder-Decoder model for Semantic Role Labeling
Using a CNN-LSTM hybrid network to generate captions for images
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
HTSM Masterwork
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
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.
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
Experimental project for AI and NLP based on Transformer Architecture
T5 (Text-to-Text Transformer Model) for Farsi.
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).
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
Build a deep neural network with keras that functions as part of an end-to-end machine translation pipeline
Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test