geometric-neural-processes

This is a working research repository for my research into deep neural processes. Contained here in are examples of pytorch conditional neural processes, graph neural processes, wasserstein neural proceses, and sinkhorn neural processes.

Name		Name	Last commit message	Last commit date
Latest commit History 160 Commits
checkpoints		checkpoints
input_graph_datasets		input_graph_datasets
pycocotools		pycocotools
wasserstein_neural_processes		wasserstein_neural_processes
LICENSE		LICENSE
README.md		README.md
anp_pytorch.py		anp_pytorch.py
auto_cnp.py		auto_cnp.py
build_vocab.py		build_vocab.py
celeba_np.py		celeba_np.py
cnp.py		cnp.py
cnp_torch.ipynb		cnp_torch.ipynb
conditional_neural_process.ipynb		conditional_neural_process.ipynb
down_scale.py		down_scale.py
gnp.py		gnp.py
grayscale_anp.py		grayscale_anp.py
layers.py		layers.py
mri_cnp.py		mri_cnp.py
results.ipynb		results.ipynb
sinknp.py		sinknp.py
spect.py		spect.py
supervised.py		supervised.py
tile_np.py		tile_np.py
utils.py		utils.py
wasnp.py		wasnp.py
working_cnp_do_not_change.py		working_cnp_do_not_change.py

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Shenghsin/geometric-neural-processes

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