Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
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Updated
Oct 3, 2023 - Python
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
Learning cell communication from spatial graphs of cells
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 😝 BDW it uses Pytorch framework and Python3.
📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
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
This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
Source Code Generation Based On User Intention Using LSTM Networks
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
Encoder-Decoder model for Semantic Role Labeling
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
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
Code of our work "Maneuver-based Anchor Trajectory Hypotheses at Roundabouts".
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