Next-Frame Prediction Using Convolutional LSTM
-
Updated
Jan 28, 2024 - Jupyter Notebook
Next-Frame Prediction Using Convolutional LSTM
LSTM Pose Machines for Video Human Pose Estimation - Implemented by PyTorch
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.
Python framework for Speech and Music Detection using Keras.
This repository includes sample codes for machine learning and deep learning projects.
Deep Convolutional Q learning based Self learning implementation for Subway Surfers game
GASP: Gated Attention for Saliency Prediction (IJCAI-21)
This repository introduces Deep Particulate Matter Network with a Separated Input model based on deep learning by using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter.
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
This repo includes Zhang2019's CLSTM implemented using keras(tensorflow2). Zhang2019:Zhang, Haokui, et al. "Exploiting temporal consistency for real-time video depth estimation." Proceedings of the IEEE International Conference on Computer Vision. 2019.
This is a solution to Cinnamon AI Challenge (https://drive.google.com/drive/folders/1Qa2YA6w6V5MaNV-qxqhsHHoYFRK5JB39) using convolutional, attention, bidirectional LSTM, achieving CER 0.081 WER 0.188 and SER 0.89
This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
Tracking and Detection of the Soccer Ball
Identifying text in images in different fonts using deep neural network techniques.
Training a neural network to play Rivals of Aether
Add a description, image, and links to the convolutional-lstm topic page so that developers can more easily learn about it.
To associate your repository with the convolutional-lstm topic, visit your repo's landing page and select "manage topics."