Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (+129.47%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (+492.63%)
Pytorch cppDeep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (+20%)
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 (+574.74%)
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (+71.58%)
Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Stars: ✭ 363 (+282.11%)
IganInteractive Image Generation via Generative Adversarial Networks
Stars: ✭ 3,845 (+3947.37%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (+17.89%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-26.32%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (+45.26%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+9126.32%)
Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 6,963 (+7229.47%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (+65.26%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (+41.05%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (+201.05%)
Cat GeneratorGenerate cat images with neural networks
Stars: ✭ 354 (+272.63%)
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (+402.11%)
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (+382.11%)
TpudcganTrain DCGAN with TPUs on Google Cloud
Stars: ✭ 33 (-65.26%)
Tf Exercise GanTensorflow implementation of different GANs and their comparisions
Stars: ✭ 110 (+15.79%)
GanResources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Stars: ✭ 2,127 (+2138.95%)
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (-74.74%)
Keras DcganKeras implementation of Deep Convolutional Generative Adversarial Networks
Stars: ✭ 943 (+892.63%)
Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
Stars: ✭ 32 (-66.32%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (+13.68%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-7.37%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-47.37%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+687.37%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (+515.79%)
Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
Stars: ✭ 22 (-76.84%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (+274.74%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-77.89%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (+669.47%)
CatdcganA DCGAN that generate Cat pictures 🐱💻
Stars: ✭ 177 (+86.32%)
Gan TutorialSimple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (+138.95%)
automatic-manga-colorizationUse keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
Stars: ✭ 20 (-78.95%)
MUST-GANPytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
Stars: ✭ 39 (-58.95%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-81.05%)
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-47.37%)
SlimGANSlimmable Generative Adversarial Networks (AAAI 2021)
Stars: ✭ 20 (-78.95%)
DCSOSupplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"
Stars: ✭ 20 (-78.95%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-74.74%)
infnet-spenTensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
Stars: ✭ 30 (-68.42%)
ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (-62.11%)
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (-44.21%)
metricsIS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (-4.21%)
opensnitchOpenSnitch is a GNU/Linux application firewall
Stars: ✭ 398 (+318.95%)
ML-Papers-TLDRA summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
Stars: ✭ 20 (-78.95%)