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 * [neural-dream](https://github.com/ProGamerGov/neural-dream) - A PyTorch implementation of DeepDream.
 * [Openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
 * [Deep High-Resolution-Net](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch) - A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
+* [TF-GAN](https://github.com/tensorflow/gan) - TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
 * [dream-creator](https://github.com/ProGamerGov/dream-creator) - A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
 * [Lucent](https://github.com/greentfrapp/lucent) - Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
 * [lightly](https://github.com/lightly-ai/lightly) - Lightly is a computer vision framework for self-supervised learning.