conv-lstm

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Here are 15 public repositories matching this topic...

deontaepharr / Diagnosing-ADHD-With-ConvLSTM

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Classifying ADHD fMRI data with a CNN+LSTM Model

deep-learning tensorflow keras medical-imaging lstm neuroimaging convolutional-neural-networks fmri conv-lstm

Updated Oct 15, 2019
Jupyter Notebook

iamrakesh28 / Video-Prediction

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Implementation of Transformer Encoder Decoder Architecture for Video Predictions

video-prediction transformer-architecture conv-lstm encoder-decoder-architecture

Updated Jun 2, 2021
Python

nesl / Robust-Deep-Learning-Pipeline

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Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

machine-learning deep-neural-networks deep-learning time-series activity-recognition cnn jitter lstm missing-data sensor-fusion human-activity-recognition action-recognition multimodal-deep-learning conv-lstm complex-event-recognition complex-activity-recognition misaligned-data sampling-rates cooking-activity-dataset

Updated Apr 26, 2021
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mediaeng-lfv / LFV_Disparity_Estimation

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Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

deep-learning dataset disparity keras-tensorflow depth-estimation paper-implementations lightfield 3dcnn light-field tensorflow2 conv-lstm iwait light-field-video

Updated Mar 26, 2021
Python

rezacsedu / Neural-Ensemble-Method-for-Cancer-Prediction

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A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations

tcga neural-networks cancer-genomics classification deeplearning copy-number-variation cae cnv-data conv-lstm

Updated Jun 8, 2022
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Simeonedef / Time-Series_Imaging_Forecasting

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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.

deep-learning series convolutional-layers matplotlib eth-zurich predictions ethz convolutional-lstm time-series-forecasting tensorflow2 conv-lstm holt-winter conv-mlp lstm-architecture

Updated Jul 6, 2023
Python

name-ethnicity-classifier / name-ethnicity-classifier

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This repository contains a console-interface name-ethnicity classifier

machine-learning social-sciences ethnicity-classifier bias-detection conv-lstm nationality-predicter

Updated Sep 18, 2024
Python

X-rayLaser / keras-cnn-1drnn-ctc

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A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition

machine-learning ai deep-learning toolkit tensorflow keras recurrent-neural-networks lstm neural-networks htr handwriting-recognition paper-implementations ctc-loss neural-network-architectures conv-lstm

Updated Apr 19, 2020
Python

nouranHisham / modulation_classification

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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.

cnn lstm rnn pattern-recognition modulation-classification conv-lstm

Updated Jul 10, 2022
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sbashett / avces_tensorflow

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Deep Predictive models for collision risk assessment in autonomous driving

tensorflow python3 collision-avoidance conv-lstm

Updated Oct 28, 2020

oliviatessa / Conv-LSTM-CSE599-FinalProject

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Convolutional LSTM for ASKA Data

deep-neural-networks deep-learning recurrent-neural-networks lstm convolutional-neural-networks conv-lstm cell-images

Updated Dec 20, 2022

anas-farooq8 / Predicting-and-Generating-Video-Sequences

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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.