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.
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
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
This repository contains our project on Stock Market Price prediction Using Historical Data
藏头诗生成器 Chinese poem generator with LSTM network
Predicting Upward and downward trends in the stock prices using Stacked LSTM.
These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition
Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)
Term 2 Project 2 RNN and LSTM for time-series prediction and text generation
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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