In PyTorch Learing Neural Networks Likes CNN、BiLSTM

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.

基于tensorflow lstm模型的彩票预测

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

Lyrics and rap lyrics AI-generate system based on GPT-2 and LSTM / 基于GPT-2和LSTM的歌词和说唱歌词创作系统

lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.

LSTM-based Models for Sentence Classification in PyTorch

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

Highway Networks implement in pytorch

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.

time-series prediction for predictive maintenance

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.

Python based Quant Finance Models, Tools and Algorithmic Decision Making

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

Hierarchical Attention Network for Document Classification

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

An implementation of the CNN-LSTM model for Classifying Time Series Human Activities