There are 1 repository under rnn-encoder-decoder topic.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
1st place solution
Chinese Poetry Generation
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Sequence to Sequence Models in PyTorch
RNN Encoder-Decoder in PyTorch
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
Official source code of Arrhythmia Detection
Deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action experience - Research Project at KIT's High Performance Humanoids Technologies Lab (H2T)
Text-based Geolocation Prediction of Social Media Users with Neural Networks
Generative Models for Image Captioning
Simple TensorFlow implementation of skip-thought vectors
A repository for my pytorch models
PyTorch implementation of Machine Translation using Autoencoder with Attention
Generate caption on images using CNN Encoder- LSTM Decoder structure
ChatBot Trained using Seq2Seq Model on Mahabharatha Subtitles
Patent abstract summarization using recurrent neural networks
Assignment 2: Neural Machine Translation in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.
Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing.
Ilustração de como podem ser construídos diversos indicadores técnicos utilizados no mercado financeiro para criação de estratégias de trading usando machine learning e deep learning.
Game Of Thrones Generative ChatBot Trained using Seq2Seq Model on Game Of Thrones Subs and Book data
This is a Computer Vision project in which I have to generate captions for given Image dataset
A simple chatbot built using ML in Python. The data in the intents json file can be modified. This model works for all kinds of input data json file, most accurately in English language.
sequence to sequence model using tensorflow
This project uses seq2seq learning model to generate abstract summaries of opinionated data.
A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.
using a combination of CNN and RNN for generating captions for images
In this repo you can find implementations of advanced deep learning using Keras and Tensorflow like NLP using GloVe model, Autonomous driving application using YOLO, Trigger word detection model using LSTM, Neural machine translation and others deployed in the Deep Learning Specialization of deeplearnin.ai in Coursera
Define and train an image-to-caption model, that can produce descriptions for real world images! Week 6 of Deep Learning Course from Coursera!