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Title: GitHub - seungjunlee96/lightning-generative-models: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

Open Graph Title: GitHub - seungjunlee96/lightning-generative-models: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

X Title: GitHub - seungjunlee96/lightning-generative-models: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

Description: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models - seungjunlee96/lightning-generative-models

Open Graph Description: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models - seungjunlee96/lightning-generative-models

X Description: PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models - seungjunlee96/lightning-generative-models

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train.py	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models/blob/main/train.py
train.py	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models/blob/main/train.py
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	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#️-lightning-generative-models
PyTorch Lightning	https://lightning.ai/
Weights & Biases (W&B)	https://wandb.ai/site
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#-overview
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models/blob/main/assets/generative_models.png
https://lilianweng.github.io/	https://lilianweng.github.io/
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#-supported-models
Generative Adversarial Networks	https://arxiv.org/abs/1406.2661
Conditional Generative Adversarial Nets	https://arxiv.org/abs/1411.1784
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	https://arxiv.org/abs/1606.03657
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	https://arxiv.org/abs/1511.06434
Least Squares Generative Adversarial Networks	https://arxiv.org/abs/1611.04076
Wasserstein GAN	https://arxiv.org/abs/1701.07875
Improved Training of Wasserstein GANs	https://arxiv.org/abs/1704.00028
Which Training Methods for GANs do actually Converge?	https://arxiv.org/pdf/1801.04406.pdf
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	https://junyanz.github.io/CycleGAN/
Auto-Encoding Variational Bayes	https://arxiv.org/abs/1312.6114
Neural Discrete Representation Learning	https://arxiv.org/abs/1711.00937
Conditional Image Generation with PixelCNN Decoders	https://ar5iv.org/abs/1606.05328
Denoising Diffusion Probabilistic Models	https://arxiv.org/abs/2006.11239
Denoising Diffusion Implicit Models	https://arxiv.org/abs/2010.02502
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#-wandb-experiment-logging
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models/blob/main/assets/wandb_experiments.png
Wandb Experiment Page	https://wandb.ai/i_am_seungjun/Lightning%2520generative%2520models?workspace%253Duser-i_am_seungjun
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#-installation
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Inception Score (IS)	https://arxiv.org/abs/1606.03498
	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#1-inception-score-is
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	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#2-fréchet-inception-distance-fid
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	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#3-kernel-inception-distance-kid
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	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#4-todo-precision-and-recall-distribution-prd
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	https://patch-diff.githubusercontent.com/seungjunlee96/lightning-generative-models#-references
https://github.com/nocotan/pytorch-lightning-gans	https://github.com/nocotan/pytorch-lightning-gans
https://nn.labml.ai/	https://nn.labml.ai/
https://github.com/eriklindernoren/PyTorch-GAN	https://github.com/eriklindernoren/PyTorch-GAN
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