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

Learning cell communication from spatial graphs of cells

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.

Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.

📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text

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.

Explore diverse computer vision projects using Transfer Learning(TL), Convolutional Neural Networks (CNN), Autoencoder and more in this collaborative repository

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

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

This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".

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

Experimental project for AI and NLP based on Transformer Architecture

Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model

An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code

Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"

Abdominal Organ Segmentation using Multi Decoder Network (MDNet) [Accepted at ICASSP 2025]

Deep Learning LSTM language translation model built with Keras using Neural Machine Translation with seq2seq encoder-decoder architecture