inner-convex-nn

Extreme sparsity by Input Convex Neural Networks.

Experiments

https://github.com/locuslab/icnn - repo with TF implementation of input-convex-nns
https://arxiv.org/pdf/1609.07152.pdf - paper by Amos, describing a general approach
https://arxiv.org/pdf/1909.13082v2.pdf - paper by Korotin, describing a couple of architectures in appendix
https://docs.google.com/spreadsheets/d/1zNm02EqpN855odlE-SOPIRvJwtfs1ZzQt_Q59nES4ho/edit#gid=0 - spreadsheet with all projects, our goes by the number 29
https://github.com/bhpfelix/Variational-Autoencoder-PyTorch – potential code for VAE (not used in final solution)

Name		Name	Last commit message	Last commit date
Latest commit History 50 Commits
ConvolutionalAE		ConvolutionalAE
alexnet		alexnet
alexnet_source		alexnet_source
icnn_fixed		icnn_fixed
poslayers		poslayers
vae		vae
AlexNet_+CatsDogs (2) (1).ipynb		AlexNet_+CatsDogs (2) (1).ipynb
ConvAE.ipynb		ConvAE.ipynb
LICENSE		LICENSE
MNIST Classification With No Skips.ipynb		MNIST Classification With No Skips.ipynb
MNIST Classification With Skips.ipynb		MNIST Classification With Skips.ipynb
MNIST Classification.ipynb		MNIST Classification.ipynb
README.md		README.md
ResNet.ipynb		ResNet.ipynb
UNet_convex.ipynb		UNet_convex.ipynb
environment.yml		environment.yml