https://github.com/lyeoni/pytorch-mnist-cvae
https://github.com/lyeoni/pytorch-mnist-cvae
autoencoder cvae deep-learning generative-model mnist pytorch
Last synced: 11 months ago
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- Host: GitHub
- URL: https://github.com/lyeoni/pytorch-mnist-cvae
- Owner: lyeoni
- Created: 2018-10-23T05:42:55.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-24T07:39:18.000Z (over 7 years ago)
- Last Synced: 2025-04-07T05:35:45.269Z (about 1 year ago)
- Topics: autoencoder, cvae, deep-learning, generative-model, mnist, pytorch
- Language: Jupyter Notebook
- Size: 10.8 MB
- Stars: 21
- Watchers: 0
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# pytorch-mnist-CVAE
Conditional Variational AutoEncoder on the MNIST data set using the PyTroch
## Dependencies
- PyTorch
- torchvision
- numpy
## Results
Learned MNIST manifold with a condition of label (from 0 to 9)
## Reference
1. Learning Structured Output Representation using Deep Conditional Generative Models (paper):
https://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-modelsd
2. jojonki/AutoEncoders (github):
https://github.com/jojonki/AutoEncoders/blob/master/cvae.ipynb
3. hujinsen/pytorch_VAE_CVAE (github):
https://github.com/hujinsen/pytorch_VAE_CVAE/blob/master/CVAE.ipynb
4. Prasanna1991/pytorch-vae (github):
https://github.com/Prasanna1991/pytorch-vae/blob/master/cvae.py