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Pix2pixImage-to-image translation with conditional adversarial nets
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IganInteractive Image Generation via Generative Adversarial Networks
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FaceswapDeepfakes Software For All
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Vae Lagging EncoderPyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
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CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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soft-intro-vae-pytorch[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
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DeepfacelabDeepFaceLab is the leading software for creating deepfakes.
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Img2imgganImplementation of the paper : "Toward Multimodal Image-to-Image Translation"
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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MXNet-GANMXNet Implementation of DCGAN, Conditional GAN, pix2pix
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Advanced Models여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
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Dsprites DatasetDataset to assess the disentanglement properties of unsupervised learning methods
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Inpainting gmcnnImage Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
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S Vae PytorchPytorch implementation of Hyperspherical Variational Auto-Encoders
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Neural OdeJupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
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attentionocrAttention OCR in Tensorflow 2.0
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Tts🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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Pytorch rvaeRecurrent Variational Autoencoder that generates sequential data implemented with pytorch
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clip-guided-diffusionA CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
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FreezegFreezing generator for pseudo image translation
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AsymmetricGAN[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
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lecam-ganRegularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
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Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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Beta VaePytorch implementation of β-VAE
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Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
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Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
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classifying-vae-lstmmusic generation with a classifying variational autoencoder (VAE) and LSTM
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Pytorch VqvaeVector Quantized VAEs - PyTorch Implementation
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SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
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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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Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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ConsinganPyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
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