All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-94.52%)
Gluon CvGluon CV Toolkit
Stars: ✭ 5,001 (-25.37%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (-89.48%)
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 (-89.48%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (-17.13%)
T2fT2F: text to face generation using Deep Learning
Stars: ✭ 494 (-92.63%)
Texturize🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.
Stars: ✭ 366 (-94.54%)
Text To ImageGenerative Adversarial Text to Image Synthesis / Please Star -->
Stars: ✭ 498 (-92.57%)
MixupImplementation of the mixup training method
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Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Stars: ✭ 587 (-91.24%)
Curated List Of Awesome 3d Morphable Model Software And DataThe idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
Stars: ✭ 375 (-94.4%)
Deep Learning Book《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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MsganMSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Stars: ✭ 366 (-94.54%)
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 (-88.64%)
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 (-94.58%)
Deblur GanKeras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
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SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-94.63%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
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Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Stars: ✭ 479 (-92.85%)
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (-94.76%)
RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
Stars: ✭ 480 (-92.84%)
Cat GeneratorGenerate cat images with neural networks
Stars: ✭ 354 (-94.72%)
PassganA Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
Stars: ✭ 704 (-89.49%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (-38.04%)
Biggan PytorchPytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
Stars: ✭ 479 (-92.85%)
Dsprites DatasetDataset to assess the disentanglement properties of unsupervised learning methods
Stars: ✭ 340 (-94.93%)
BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
Stars: ✭ 336 (-94.99%)
Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
Stars: ✭ 336 (-94.99%)
Neural OdeJupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Stars: ✭ 335 (-95%)
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (-92.88%)
Pytorch rvaeRecurrent Variational Autoencoder that generates sequential data implemented with pytorch
Stars: ✭ 332 (-95.05%)
Hifi GanHiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Stars: ✭ 325 (-95.15%)
DancenetDanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Stars: ✭ 469 (-93%)
Beta VaePytorch implementation of β-VAE
Stars: ✭ 326 (-95.14%)
Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Stars: ✭ 779 (-88.37%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-88.84%)
GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Stars: ✭ 563 (-91.6%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-95.19%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-95.25%)
DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
Stars: ✭ 321 (-95.21%)
Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Stars: ✭ 464 (-93.08%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-95.33%)
Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Stars: ✭ 317 (-95.27%)
GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (-93.14%)
Improved Video GanGitHub repository for "Improving Video Generation for Multi-functional Applications"
Stars: ✭ 314 (-95.31%)
GranEfficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Stars: ✭ 312 (-95.34%)
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (-93.17%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (-50.65%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (-90.12%)
MelganMelGAN vocoder (compatible with NVIDIA/tacotron2)
Stars: ✭ 444 (-93.37%)
Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Stars: ✭ 301 (-95.51%)