bidirectional-lstm

Sentence paraphrase generation at the sentence level

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Chinese Poetry Generation

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

Aspect Based Sentiment Analysis

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

BGC Detection and Classification Using Deep Learning

Bidirectional LSTM + CRF (Conditional Random Fields) in Tensorflow

This repo contains code written by MXNet for ocr tasks, which uses an cnn-lstm-ctc architecture to do text recognition.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Tensorflow Implementation of Im2Latex

AI: Deep Learning for Phishing URL Detection

Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features

Stock price prediction using Bidirectional LSTM and sentiment analysis

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

Deep-learning system presented in "EmoSence at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations" at SemEval-2019.

A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

Chatbot based Seq2Seq model with bidirectional rnn and attention mechanism with tensorflow, trained on Cornell Movie-Dialogs Corpus and deployed on a Flask Server

A deep learning model for extracting references from text

LSTM Model to predict BTCUSD ticker values

Train a bidirectional or normal LSTM recurrent neural network to generate text on a free GPU using any dataset. Just upload your text file and click run!

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

Only in native python & numpy

Time Series based analysis of cryptocurrency prediction using deep learning models

Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for regular NN given only today's data, observing and comparing time series for various models. Additionally finding best value for N previous days and bidirectional LSTM for experiments.

C++ and Python Library Files of MultiCharts