cnn-lstm topic
Deep-Learning-for-Expression-Recognition-in-Image-Sequences
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
SLR
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Vehicle_Collision_Prediction_Using_CNN-LSTMs
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
1D-Speech-Emotion-Recognition
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
stock-market-prediction
Stock Price Prediction using CNN-LSTM
Stock-X
NN models designed to analyze and predict stock market from any stock data given
Human_Activity_Recognition
Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices