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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Updated
Aug 4, 2021
Jupyter Notebook
High Quality Monocular Depth Estimation via Transfer Learning
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Dec 27, 2021
Jupyter Notebook
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
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Mar 11, 2022
Python
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
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Nov 8, 2019
Jupyter Notebook
Learning cell communication from spatial graphs of cells
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Mar 23, 2022
Python
Noise removal from images using Convolutional autoencoder
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Sep 28, 2018
Python
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
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Mar 18, 2018
Python
An Implementation of Encoder-Decoder model with global attention mechanism.
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Sep 21, 2019
Python
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.
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Apr 9, 2021
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Encoder-Decoder for Face Completion based on Gated Convolution
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Jul 21, 2019
Python
Source Code Generation Based On User Intention Using LSTM Networks
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Jan 6, 2018
Python
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models" arXiv:2107.09814v1.
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Dec 17, 2021
Jupyter Notebook
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
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Sep 19, 2017
Python
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
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Aug 5, 2018
Python
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
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Dec 7, 2018
Python
Encoder-Decoder model for Semantic Role Labeling
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May 13, 2020
Python
Using a CNN-LSTM hybrid network to generate captions for images
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Nov 19, 2019
Jupyter Notebook
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).
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Feb 11, 2022
Python
Neural Machine Tranlation using Local Attention
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Jan 7, 2019
Jupyter Notebook
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
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May 6, 2019
Python
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
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Aug 31, 2020
Jupyter Notebook
📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
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Dec 13, 2018
Python
This repository contains RNN, CNN, Transformer based Seq2Seq implementation.
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Apr 12, 2019
Python
An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code
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Feb 5, 2022
Python
Predictive Frame Interpolation (PIF) Model for video frame prediction and generation. The model can generate in between frames of a video thus increasing the frame rate.
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Jul 13, 2020
Python
Classic spy Encoder-Decoder console game made with Python
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Apr 12, 2018
Python
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
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Dec 1, 2021
Python
[Deep Learning] An end-to-end deep neural network that converts screenshots to Bootstrap (HTML/CSS) code
Updated
Sep 17, 2018
Python
Tamil to English translation using Neural Networks
Updated
Jun 22, 2018
Jupyter Notebook
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Currently, all the VED/VAE models work only with a single channel data (e.g. grayscale images but not color images). The extension to multiple channels should be pretty straightforward if there is a use case.