ujjax/pred-rnn

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

47
/ 100
Emerging

This tool helps researchers and deep learning practitioners explore advanced methods for predicting future video frames. It takes a sequence of video frames as input and generates a prediction of what the subsequent frames will look like. This is useful for those working on video prediction, anomaly detection in video, or general spatiotemporal sequence modeling tasks.

127 stars. No commits in the last 6 months.

Use this if you are a deep learning researcher or practitioner interested in implementing or experimenting with predictive learning models for video.

Not ideal if you are looking for an off-the-shelf solution for video prediction without needing to understand or modify deep learning model architectures.

deep-learning-research video-prediction spatiotemporal-modeling neural-networks machine-learning-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

127

Forks

39

Language

Python

License

MIT

Last pushed

Oct 09, 2019

Commits (30d)

0

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