516 Open source projects that are alternatives of or similar to Cadgan

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

Training a MNIST classifier, and use it to compute inception score (ICP)

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Spectral Normalization for Keras Dense and Convolution Layers

Improving MMD-GAN training with repulsive loss function

Stacked Generative Adversarial Networks

A stable algorithm for GAN training

My pytorch implementation for GAN

Anime Generation

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

TriangleGAN, ACM MM 2019.

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Semantic Image Inpainting

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Tensorflow-based framework to ease training of generative models

Conditional GAN for Anime face generation.

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Listing my favorite research papers 📝 from different fields as I read them.

Pytorch implementation of CycleGAN.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Generative Adversarial Networks in PyTorch

[CVPR2020] Adversarial Latent Autoencoders

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Speech Enhancement Generative Adversarial Network in TensorFlow

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

An 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

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

An AI for Music Generation

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

T2F: text to face generation using Deep Learning

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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.

in progress

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Tutorial on creating your own GAN in Tensorflow

Code for the paper "Jukebox: A Generative Model for Music"

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression