cnn-lstm

0aqz0/SLR

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

perseus784/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.

miroblog/limit_orderbook_prediction

vandana-rajan/1D-Speech-Emotion-Recognition

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

matheusbfernandes/stock-market-prediction

Stock Price Prediction using CNN-LSTM

RoyalSkye/Image-Caption

Using LSTM or Transformer to solve Image Captioning in Pytorch

ritikdhame/Electricity_Demand_and_Price_forecasting

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

Yale-Deep-Learning-for-Alzheimers/Alzheimers-DL-Network

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

DSXiangLi/Embedding

Embedding模型代码和学习笔记总结

dangz90/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.

moritzhambach/Detecting-Cheating-in-Chess

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

Circle-1/Stock-X

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

mohyunho/ENAS-PdM

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

fatma-kursun-wiz/time-series-forecasting

tam-ng/Human_Activity_Recognition

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

ChaoQiezi/CNN-LSTM-model-is-used-to-predict-NDVI

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.

tanvipotdar/LOBMidPricePrediction

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

frankibem/CS_6001

JoeyBoyi/chinese-text-multi-classification-clstm

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

TomatoFT/Vehicle-Trajectory-Prediction-in-Ho-Chi-Minh-city-streets

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

SpringerNLP/Chapter6

Chapter 6: Convolutional Neural Networks

Jason-Oleana/image-to-sequence-prediction

The goal is to learn to generate the Scalable Vector Graphics (SVG) code correspondig to images of simple colored shapes. SVG is a markup language which is used to define vector graphics.

shawnhan108/AutoTruckX

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

anirudhs123/Thermal-comfort-prediction-in-low-resourced-buildings

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

ankangd/HybridCovidLUS

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

Ertugrulmert/ECG-Time-Series-Classification

Deep learning models for classifying ECG time series

jerinka/LSTM_Video_classifier

CNN LSTM based video classification codes

shahriar-rahman/Automated-Detection-of-Cardiac-Arrhythmia

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

anurag-kulshrestha/Sink_InSAR_CNN_LSTM

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

eftekhar-hossain/Bengali-Document-Categorization

Bangla News Article Categorization Using Conv-LSTM Net. It is a multi-class classification problem.

liaoyanqing666/CNN_LSTM_video_classification

CNN-LSTM暴力视频鉴别，CNN-LSTM Violent video identification

aliebayani/IoT-Devices-Intrusion-Detection

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

khushwant18/Grasp-and-Lift-EEG-detection

Deep learning techniques for detecting 6 types of hand movements from labeled dataset procured from Kaggle, Grasp-and-Lift EEG Detection.

Niloy-Chakraborty/Fault-Detection-in-UAVs-using-Deep-Learning-and-Machine-Learning

Fault Detection and Classification techniques using Deep Learning and Machine Learning based architectures to detect the UAV maloperation in Accelerometer and Gyroscope sensors.

sedflix/EmoContext

A Shared Task on Contextual Emotion Detection in Text (done in exactly two days; one before mid-eval and one before end-eval)