tinygrad/examples
20kdc 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