GitHub topics: conv-lstm
deontaepharr/Diagnosing-ADHD-With-ConvLSTM
Classifying ADHD fMRI data with a CNN+LSTM Model
Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 70 - Forks: 17
anas-farooq8/Predicting-and-Generating-Video-Sequences
A deep learning project to predict and generate future video frames using models like ConvLSTM, PredRNN, and Transformers, leveraging the UCF101 dataset. The repository includes preprocessing, model training, video generation, an interactive UI, and evaluation metrics to compare model performance in video synthesis and temporal prediction tasks.
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
X-rayLaser/keras-cnn-1drnn-ctc
A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition
Language: Python - Size: 146 KB - Last synced at: 1 day ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 1
calde97/Heart-segmentation
Left ventricular segmentation with deep learning
Language: Python - Size: 1.2 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
name-ethnicity-classifier/name-ethnicity-classifier
This repository contains a console-interface name-ethnicity classifier
Language: Python - Size: 23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 13 - Forks: 2
mediaeng-lfv/LFV_Disparity_Estimation
Official repository for "Depth estimation from 4D light field videos", IWAIT 2021
Language: Python - Size: 4.81 MB - Last synced at: 12 months ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 3
nesl/Robust-Deep-Learning-Pipeline
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Language: Jupyter Notebook - Size: 876 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 3
Simeonedef/Time-Series_Imaging_Forecasting
In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.
Language: Python - Size: 193 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 6
oliviatessa/Conv-LSTM-CSE599-FinalProject
Convolutional LSTM for ASKA Data
Size: 138 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
iamrakesh28/Video-Prediction
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
Language: Python - Size: 4.17 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 24 - Forks: 5
rezacsedu/Neural-Ensemble-Method-for-Cancer-Prediction
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 19 - Forks: 9
nouranHisham/modulation_classification
This project was for the pattern recognition course I studied in college. This project's aim was to classify the type of each modulation technique used using CNN, RNN, LSTM and CONV-LSTM.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
sbashett/avces_tensorflow
Deep Predictive models for collision risk assessment in autonomous driving
Size: 3.91 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
dcolinmorgan/prediction
various LSTM frameworks for time-series prediction of age groups not characterized by -omics
Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
