encoder-decoder-model
There are 194 repositories under encoder-decoder-model topic.
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
ialhashim/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
luopeixiang/im2latex
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
theislab/ncem
Learning cell communication from spatial graphs of cells
yulinliu101/DeepTP
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
ziatdinovmax/pyroVED
Invariant representation learning from imaging and spectral data
satinder147/Image_deionising_auto_encoder
Noise removal from images using Convolutional autoencoder
rakesh-yadav/PyTorch-RNN-Tutorial
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
katiana22/GDM-PCE
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
sekharvth/simple-chatbot-keras
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
tm4roon/pytorch-seq2seq
An Implementation of Encoder-Decoder model with global attention mechanism.
alvinbhou/Video2Text
📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
inuwamobarak/nougat
Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.
DataSenseiAryan/TS3000_TheChatBOT
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.
isi-vista/face-completion
Encoder-Decoder for Face Completion based on Gated Convolution
k-chuang/code-generation-from-images
[Deep Learning] An end-to-end deep neural network that converts screenshots to Bootstrap (HTML/CSS) code
SathwikTejaswi/Neural-Image-Captioning
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
AbhishekRS4/HTSM_Oil_Spill_Segmentation
HTSM Masterwork
albertusk95/intention-to-code-lstm
Source Code Generation Based On User Intention Using LSTM Networks
shreyaskamathkm/FTNet
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
siddsriv/Image-captioning
Using a CNN-LSTM hybrid network to generate captions for images
Snigdho8869/Computer-Vision-Projects
Explore diverse computer vision projects using Transfer Learning(TL), Convolutional Neural Networks (CNN), Autoencoder and more in this collaborative repository
vibhor98/Neural-Machine-Translation-using-Keras
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
Heidelberg-NLP/SRL-S2S
Encoder-Decoder model for Semantic Role Labeling
partarstu/transformers-in-java
Experimental project for AI and NLP based on Transformer Architecture
Js-Mim/mlsp2017_svsep_skipfilt
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
akjayant/Image-Captioning-via-YOLOv5-EncoderDecoderwithAttention
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
biringaChi/PIF
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
KodAgge/Img2Latex
An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code
m-hasan-n/roundabout
Code of our work "Maneuver-based Anchor Trajectory Hypotheses at Roundabouts".
victor7246/gated-Transformer
Gated Pretrained Transformer model for robust denoised sequence-to-sequence modelling
asmitapoddar/question-answering-SQuAD2.0-dcn
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).
sayedmohamedscu/VQGAN
Vector-Quantized Generative Adversarial Networks
shawnhan108/Attention-LSTMs
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
Sharif-SLPL/t5-fa
T5 (Text-to-Text Transformer Model) for Farsi.
LaurentVeyssier/Machine-translation-English-French-with-Deep-neural-Network
Build a deep neural network with keras that functions as part of an end-to-end machine translation pipeline