Nemzy/video_generator
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
This project helps machine learning practitioners explore and generate new video sequences. It takes existing video frames as input and produces novel, AI-generated video content. Data scientists and deep learning researchers would use this to experiment with generative models for video.
No commits in the last 6 months.
Use this if you are a machine learning researcher or data scientist interested in generating synthetic video using convolutional variational autoencoders.
Not ideal if you need a production-ready video generation solution or do not have experience with TensorFlow and deep learning concepts.
Stars
73
Forks
40
Language
Jupyter Notebook
License
MIT
Last pushed
Jul 24, 2017
Commits (30d)
0
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