adversarial diverisity is all you need

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My personal implementation of mu zero

test git commands

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

unsupervised/unpaired image-to-image translation using Coupled GANs

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:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL)