ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
Stars: ✭ 21 (-87.35%)
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-84.94%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (+324.7%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-40.96%)
tiny-pix2pixRedesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
Stars: ✭ 21 (-87.35%)
ArtGANTensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
Stars: ✭ 16 (-90.36%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
Stars: ✭ 161 (-3.01%)
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
Stars: ✭ 88 (-46.99%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (+298.8%)
CharacterGANCharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
Stars: ✭ 172 (+3.61%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-41.57%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+293.98%)
GandlfGenerative Adversarial Networks in Keras
Stars: ✭ 46 (-72.29%)
RecycleGANThe simplest implementation toward the idea of Re-cycle GAN
Stars: ✭ 68 (-59.04%)
Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
Stars: ✭ 19 (-88.55%)
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 (+286.14%)
Audio2Guitarist-GANTwo-stage GANs that generate fingerstyle guitarist images from audio.
Stars: ✭ 53 (-68.07%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-41.57%)
ExposureLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Stars: ✭ 605 (+264.46%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-32.53%)
Co Mod Gan[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
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Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+3245.18%)
AGD[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
Stars: ✭ 98 (-40.96%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+236.14%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+6486.14%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-73.49%)
Easter-Bootcamp-2018Designed to take you from zero experience to GANs within a week.
Stars: ✭ 24 (-85.54%)
Lightweight GanImplementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Stars: ✭ 539 (+224.7%)
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
Stars: ✭ 44 (-73.49%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-44.58%)
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Stars: ✭ 47 (-71.69%)
LeakganThe codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Stars: ✭ 533 (+221.08%)
SDGymBenchmarking synthetic data generation methods.
Stars: ✭ 177 (+6.63%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+1500%)
simpleganTensorflow-based framework to ease training of generative models
Stars: ✭ 19 (-88.55%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+209.04%)
DmtDisentangled Makeup Transfer with Generative Adversarial Network
Stars: ✭ 90 (-45.78%)
Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (+204.22%)
Textsum GanTensorflow re-implementation of GAN for text summarization
Stars: ✭ 111 (-33.13%)
Variant Of Cppn Ganbased on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture
Stars: ✭ 43 (-74.1%)
subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
Stars: ✭ 12 (-92.77%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+23.49%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-25.3%)
ezganAn extremely simple generative adversarial network, built with TensorFlow
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keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-87.95%)
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Stars: ✭ 24 (-85.54%)
Stylegan WebA web porting for NVlabs' StyleGAN.
Stars: ✭ 112 (-32.53%)
Pytorch CppC++ Implementation of PyTorch Tutorials for Everyone
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