Bearing fault diagnosis model based on MCNN-LSTM

isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM

Stock Price Prediction using CNN-LSTM

Using LSTM or Transformer to solve Image Captioning in Pytorch

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.

Embedding模型代码和学习笔记总结

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Can chess engine use be detected just from the moves on the board? Let's try, using a CNN - LSTM architecture.

NN models designed to analyze and predict stock market from any stock data given

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices

Create a mid-price classifier for limit order books using a CNN and LSTM

西南山区植被对水文气候变化的非线性响应量化研究，包括MODIS、GLDAS、Rs数据的预处理以及CNN-LSTM模型的搭建、训练和特征重要性分析.

A Multi-classification of chinese text with cnn-rnn model.