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

Using LSTM or Transformer to solve Image Captioning in Pytorch

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

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

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

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.

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

An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combination of UNet, attention and transformers.

Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.

CNN LSTM based video classification codes

An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound

This work entails the usage of a novel hybrid deep transfer learning method for thermal comfort prediction in buildings with no or very little labelled data

This repository includes codes related to the detection of sinkholes using UNet and CNN-LSTM model.

Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection