Neural Machine Translation with Keras
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Updated
Jul 30, 2021 - Python
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.
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
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.
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.
藏头诗生成器 Chinese poem generator with LSTM network
Sleep stage classification using LSTM networks
This repository contains our project on Stock Market Price prediction Using Historical Data
A LSTM based Deep Net which predict bitcoin value trends(30 days)
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
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