A LSTM model using Risk Estimation loss function for stock trades in market
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Updated
Aug 4, 2020 - Python
A LSTM model using Risk Estimation loss function for stock trades in market
Neural Machine Translation with Keras
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.
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
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
Predicting Upward and downward trends in the stock prices using Stacked LSTM.
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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.
This includes a program written in python for implementing LSTM in tensorflow.
Investigating the Working of Text Classifiers - COLING 2018
Multi-task learning models for the rhetorical analysis of scientific publications
a hub about code of machine learning algorithom
A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.
Detect sentiment of IMDB Movie Reviews
A repository for code and data subsets used in different Kaggle data science competitions.
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