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Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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Generative Adversarial Transformers
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A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…
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Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspec…
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Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
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iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in…
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StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Image Deblurring using Generative Adversarial Networks
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Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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Image-to-image translation with conditional adversarial nets
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T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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