Top 572 gan open source projects

Ad examples
A 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.
Exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Cartoongan Tensorflow
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Tensorflow Vae Gan Draw
A 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).
Wgan Tensorflow
a tensorflow implementation of WGAN
Ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Music Generation With Dl
Resources on Music Generation with Deep Learning
Tf Tutorials
A collection of deep learning tutorials using Tensorflow and Python
Pytorch Progressive growing of gans
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Bmsg Gan
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
Hidt
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Apdrawinggan
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Generative Adversarial Networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Seqgan
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Text To Image
Generative Adversarial Text to Image Synthesis / Please Star -->
Ssgan Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
Deep Learning Book
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
T2f
T2F: text to face generation using Deep Learning
Deblur Gan
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Textgan Pytorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Rgan
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Biggan Pytorch
Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)
Tf.gans Comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Cool Fashion Papers
👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Gantts
PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Mimicry
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Melgan
MelGAN vocoder (compatible with NVIDIA/tacotron2)
Generative Models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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
Generative Compression
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Pro gan pytorch
ProGAN package implemented as an extension of PyTorch nn.Module
Wassersteingan.tensorflow
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Simgan
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Simgan Captcha
Solve captcha without manually labeling a training set
Sean
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Autogan
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Gan Timeline
A timeline showing the development of Generative Adversarial Networks (GAN).
Mixup
Implementation of the mixup training method
Stylegan2 Tensorflow 2.0
StyleGAN 2 in Tensorflow 2.0
Msgan
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Pytorch Mnist Celeba Gan Dcgan
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Sdv
Synthetic Data Generation for tabular, relational and time series data.
Advanced Tensorflow
Little More Advanced TensorFlow Implementations
Pycadl
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Time Series Prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Cat Generator
Generate cat images with neural networks
T81 558 deep learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Basicocr
BasicOCR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。
Gan Playground
GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.