Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
#计算机科学#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
#计算机科学#Noise removal from images using Convolutional autoencoder
#计算机科学#PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
#计算机科学#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
#自然语言处理#An Implementation of Encoder-Decoder model with global attention mechanism.
#计算机科学#📺 An Encoder-Decoder Model for Sequence-to-Sequence learning: Video to Text
#计算机科学#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 creato...
Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.
Nougat is a Meta AI's revolutionary OCR model designed to transcribe scientific PDFs into an easy-to-use Markdown format.
#人脸识别#Encoder-Decoder for Face Completion based on Gated Convolution
#自然语言处理#[Deep Learning] An end-to-end deep neural network that converts screenshots to Bootstrap (HTML/CSS) code
#计算机科学#This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
#计算机科学#This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".
#人脸识别#Encoder-Decoder for Face Completion based on Gated Convolution