Neural Machine Translation with Keras

A LSTM model using Risk Estimation loss function for stock trades in market

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

藏头诗生成器 Chinese poem generator with LSTM network

Sleep stage classification using LSTM networks

Predicting Upward and downward trends in the stock prices using Stacked LSTM.

Investigating the Working of Text Classifiers - COLING 2018

深度学习实现AI写代码

Leverages Long Short-Term Memory (LSTM) neural networks to forecast stock prices using historical data. This project showcases how deep learning can be applied to time series analysis for technical stock market prediction, using one year of data from TataGlobal (NSE) as a case study.

Multi-task learning models for the rhetorical analysis of scientific publications

A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.

Code and dataset information of our paper "Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks".

This chat bot is created using LSTM (many-to-many relation). The dataset consists of the conversation between peoples.

A Machine Learning LSTM Music Generator with RTTTL

a hub about code of machine learning algorithom

Detect sentiment of IMDB Movie Reviews