https://github.com/salfaris/priorvgae
Oxford MSc thesis. PriorVAE with graph convolutional networks for learning locally-aware spatial prior distributions
https://github.com/salfaris/priorvgae
deep-learning gaussian-processes graph-neural-network haiku jax jraph machine-learning networkx numpyro optax python variational-autoencoder
Last synced: 12 days ago
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Oxford MSc thesis. PriorVAE with graph convolutional networks for learning locally-aware spatial prior distributions
- Host: GitHub
- URL: https://github.com/salfaris/priorvgae
- Owner: salfaris
- Created: 2022-09-21T16:30:12.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-16T06:50:05.000Z (about 3 years ago)
- Last Synced: 2025-01-16T10:36:31.767Z (over 1 year ago)
- Topics: deep-learning, gaussian-processes, graph-neural-network, haiku, jax, jraph, machine-learning, networkx, numpyro, optax, python, variational-autoencoder
- Language: Python
- Homepage:
- Size: 106 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# PriorVGAE
PriorVGAE = PriorVAE + GNN
### Dependencies
- [JAX](https://jax.readthedocs.io/en/latest/)
- [Jraph](https://github.com/deepmind/jraph)
- [Haiku](https://github.com/deepmind/dm-haiku)
- [Optax](https://github.com/deepmind/optax)
- NetworkX