gulfaraz/balancing-shape-texture-bias-in-imagenet-trained-vgg19

A study on the effect of normalization in predictions by CNN models

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 3 / 25

Maturity 9 / 25

Community 12 / 25

Stars

Forks

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Jul 04, 2019

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/gulfaraz/balancing-shape-texture-bias-in-imagenet-trained-vgg19"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

mseitzer/pytorch-fid

Compute FID scores with PyTorch.

Naresh1318/Adversarial_Autoencoder

A wizard's guide to Adversarial Autoencoders

acids-ircam/RAVE

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

ratschlab/aestetik

AESTETIK: Convolutional autoencoder for learning spot representations from spatial...

jaanli/variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)