20kdcandGitHub 2653d33292 vgg7 (image upscaling) implementation - not the best, but it works (#255) ...

* vgg7 implementation - not the best, but it works

* VGG7 implementation: Spread nansbane to deter NaNs, maybe improved training experience

* VGG7 implementation: Fix training, for real this time

Results actually attempt to approximate the input

* VGG7 implementation: Sample probability management

2021-05-12 23:48:51 -07:00

..

benchmark.py

ane refactor, fix examples

2020-12-18 09:19:06 -08:00

efficientnet.py

Update examples to new API (#205)

2020-12-19 09:04:12 -08:00

mnist_gan.py

fixed example broken after gpu refactor (#238)

2021-01-05 07:41:54 -08:00

serious_mnist.py

transformer >99.98% test accuracy in ~30s (#230)

2021-01-02 07:45:09 -08:00

train_efficientnet.py

fixed pylint, formatted python files iwth cblack on localhost (#204)

2020-12-17 14:37:31 -08:00

transformer.py

transformer >99.98% test accuracy in ~30s (#230)

2021-01-02 07:45:09 -08:00

use_ane.py

fixed pylint, formatted python files iwth cblack on localhost (#204)

2020-12-17 14:37:31 -08:00

vgg7.py

vgg7 (image upscaling) implementation - not the best, but it works (#255)

2021-05-12 23:48:51 -07:00

yolo_nn.py

Improved __getitem__ (#254)

2021-05-05 22:15:22 -07:00

yolov3.py

Improved __getitem__ (#254)

2021-05-05 22:15:22 -07:00