Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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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.
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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Deep Sad PytorchA PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
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deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
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catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
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Generative CompressionTensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
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T2fT2F: text to face generation using Deep Learning
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
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Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
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SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Biggan PytorchPytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
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SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Stn OcrCode for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
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Gan TimelineA timeline showing the development of Generative Adversarial Networks (GAN).
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Deep Learning Book《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Pro gan pytorchProGAN package implemented as an extension of PyTorch nn.Module
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Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
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Wassersteingan.tensorflowTensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
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Deblur GanKeras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
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CurveAn Integrated Experimental Platform for time series data anomaly detection.
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Simgan CaptchaSolve captcha without manually labeling a training set
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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IganInteractive Image Generation via Generative Adversarial Networks
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ApdrawingganCode for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
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Autogan[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
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LoghubA large collection of system log datasets for AI-powered log analytics
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MixupImplementation of the mixup training method
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Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
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Mixmatch PytorchCode for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
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Gluon CvGluon CV Toolkit
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GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
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Imbalanced Semi Self[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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MsganMSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
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Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
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SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
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PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
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SdvSynthetic Data Generation for tabular, relational and time series data.
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