ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-93.76%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+531.97%)
InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
Stars: ✭ 761 (-56.01%)
Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stars: ✭ 496 (-71.33%)
Hccg CycleganHandwritten Chinese Characters Generation
Stars: ✭ 115 (-93.35%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+220.98%)
The Gan ZooA list of all named GANs!
Stars: ✭ 11,454 (+562.08%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (-59.25%)
HyperganComposable GAN framework with api and user interface
Stars: ✭ 1,104 (-36.18%)
Pytorch FidCompute FID scores with PyTorch.
Stars: ✭ 1,175 (-32.08%)
Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Stars: ✭ 464 (-73.18%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-93.06%)
Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Stars: ✭ 479 (-72.31%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (-66.18%)
SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (-70.98%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (-61.73%)
Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (-92.95%)
Anime InpaintingAn application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
Stars: ✭ 761 (-56.01%)
ExposureLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Stars: ✭ 605 (-65.03%)
GandlfGenerative Adversarial Networks in Keras
Stars: ✭ 46 (-97.34%)
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-96.71%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-95.95%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-96.59%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-94.68%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-94.39%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-93.53%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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T2fT2F: text to face generation using Deep Learning
Stars: ✭ 494 (-71.45%)
Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Stars: ✭ 428 (-75.26%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (-70.35%)
Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (-70.81%)
Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Stars: ✭ 587 (-66.07%)
Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
Stars: ✭ 653 (-62.25%)
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (-62.95%)
All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (-57.75%)
Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Stars: ✭ 779 (-54.97%)
Wassersteingan.tensorflowTensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Stars: ✭ 419 (-75.78%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-98.09%)
Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Stars: ✭ 949 (-45.14%)
Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Stars: ✭ 67 (-96.13%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+406.65%)
St CganDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 13 (-99.25%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-94.28%)
SpecganSpecGAN - generate audio with adversarial training
Stars: ✭ 92 (-94.68%)
TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (-94.39%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-94.97%)
SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Stars: ✭ 406 (-76.53%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+138.27%)
MuseganAn AI for Music Generation
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GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (-29.25%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-94.39%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-92.83%)