encoder-decoder-model

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

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

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 😝 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

Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets

HTSM Masterwork

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