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simpleganTensorflow-based framework to ease training of generative models
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EVEOfficial repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
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Mutual labels: generative-model
CondGenConditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
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continuous-time-flow-processPyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
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texturize🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.
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pytorch-GANMy pytorch implementation for GAN
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cygenCodes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)
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AI Learning HubAI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
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auto codingA basic and simple tool for code auto completion
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Mutual labels: generative-model
latent-pose-reenactmentThe authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
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Mutual labels: generative-model
GraphCNN-GANGraph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
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GDPPGenerator loss to reduce mode-collapse and to improve the generated samples quality.
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