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gan
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Image-to-Image Translation in PyTorch
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12 Weeks, 24 Lessons, AI for All!
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A list of all named GANs!
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Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
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A MNIST-like fashion product database. Benchmark
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深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Image-to-image translation with conditional adversarial nets
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Keras implementations of Generative Adversarial Networks.
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《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
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Build your neural network easy and fast, 莫烦Python中文教学
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Deep Learning and Reinforcement Learning Library for Scientists and Engineers
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PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
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A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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Awesome paper list with code about generative adversarial nets
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Synthesizing and manipulating 2048x1024 images with conditional GANs
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so-vits-svc fork with realtime support, improved interface and more features.
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