SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (+2082.61%)
Biggan PytorchPytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
Stars: ✭ 479 (+1982.61%)
ExposureLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Stars: ✭ 605 (+2530.43%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+2130.43%)
Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Stars: ✭ 428 (+1760.87%)
SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
Stars: ✭ 661 (+2773.91%)
T2fT2F: text to face generation using Deep Learning
Stars: ✭ 494 (+2047.83%)
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 (+3208.7%)
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (+1891.3%)
Tensorflow Vae Gan DrawA collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Stars: ✭ 577 (+2408.7%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+17821.74%)
PassganA Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
Stars: ✭ 704 (+2960.87%)
Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (+2095.65%)
Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Stars: ✭ 779 (+3286.96%)
Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Stars: ✭ 496 (+2056.52%)
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 (+2686.96%)
Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Stars: ✭ 479 (+1982.61%)
Lightning BoltsToolbox of models, callbacks, and datasets for AI/ML researchers.
Stars: ✭ 829 (+3504.35%)
Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Stars: ✭ 464 (+1917.39%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+24043.48%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (+1804.35%)
AdversarialnetspapersAwesome paper list with code about generative adversarial nets
Stars: ✭ 6,219 (+26939.13%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (+2347.83%)
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (+2178.26%)
SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Stars: ✭ 406 (+1665.22%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (+2965.22%)
Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
Stars: ✭ 518 (+2152.17%)
MuseganAn AI for Music Generation
Stars: ✭ 794 (+3352.17%)
ApdrawingganCode for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Stars: ✭ 510 (+2117.39%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (+2778.26%)
Gluon CvGluon CV Toolkit
Stars: ✭ 5,001 (+21643.48%)
Xdf GanA GAN for the generation of mock astronomical surveys
Stars: ✭ 17 (-26.09%)
Text To ImageGenerative Adversarial Text to Image Synthesis / Please Star -->
Stars: ✭ 498 (+2065.22%)
Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
Stars: ✭ 653 (+2739.13%)
Deep Learning Book《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Stars: ✭ 492 (+2039.13%)
InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
Stars: ✭ 761 (+3208.7%)
Deblur GanKeras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Stars: ✭ 483 (+2000%)
All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Stars: ✭ 630 (+2639.13%)
RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
Stars: ✭ 480 (+1986.96%)
Csmri RefinementCode for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Stars: ✭ 21 (-8.7%)
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (+1973.91%)
Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Stars: ✭ 587 (+2452.17%)
GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (+1900%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+3152.17%)
MelganMelGAN vocoder (compatible with NVIDIA/tacotron2)
Stars: ✭ 444 (+1830.43%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (+2443.48%)
Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Stars: ✭ 434 (+1786.96%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+29447.83%)
Pro gan pytorchProGAN package implemented as an extension of PyTorch nn.Module
Stars: ✭ 425 (+1747.83%)
Wgan Tensorflowa tensorflow implementation of WGAN
Stars: ✭ 572 (+2386.96%)
Wassersteingan.tensorflowTensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Stars: ✭ 419 (+1721.74%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (+3078.26%)
Began TensorflowTensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Stars: ✭ 904 (+3830.43%)
Generative ModelsCollection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Stars: ✭ 6,701 (+29034.78%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (+2965.22%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+29391.3%)