lstm-model

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Text classification using deep learning models in Pytorch

Deep Learning models for network traffic classification

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

Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

LSTM-based Models for Sentence Classification in PyTorch

Highway Networks implement in pytorch

基于GPT-2和LSTM的歌词和说唱歌词创作

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Entirety.ai Intuition to Implementation Meetup Content.

Python based Quant Finance Models, Tools and Algorithmic Decision Making

Hierarchical Attention Network for Document Classification

Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)

This repository contains programming assignments and research paper refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.

In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.

The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)

time-series prediction for predictive maintenance

疫情期间网民情绪识别代码，包含lstm，bert，xlnet，robert，最高f1为0.725 部署在Google colab

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

[deprecated] reference code for string segmentation using LSTM(tensorflow)

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

Time-series prediction with LSTNet in Apache MXNet Gluon

This repo provides projects on deep-learning mainly using Tensorflow 2.0

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

An implementation of the grid LSTM network for PyTorch

Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.