6704 Open source projects that are alternatives of or similar to Generative Models

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Collection of generative models in Pytorch version.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

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

Privacy-preserving generative deep neural networks support clinical data sharing

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.

Advanced Deep Learning with Keras, published by Packt

The implementation of Relativistic average GAN with Keras

Projecting images to latent space with StyleGAN2.

Synthetic Data Generation for tabular, relational and time series data.

Focal Frequency Loss for Generative Models

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Awesome Generative Adversarial Networks with tensorflow

Generative Adversarial Networks and Autoencoders for 3D Shapes

由淺入深的深度學習資源 Collection of deep learning materials for everyone

This 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.

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

Spectral Normalization for Keras Dense and Convolution Layers

Discovering Interpretable GAN Controls [NeurIPS 2020]

Collection of generative models in Tensorflow

A stable algorithm for GAN training

Solve captcha without manually labeling a training set

DCGAN image generator 🖼️.

[CVPR2020] Adversarial Latent Autoencoders

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Stochastic Adversarial Video Prediction

Simple Implementation of many GAN models with PyTorch.

On the "steerability" of generative adversarial networks

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

GANs Implementations in Keras

Showcasing various fun adventures with GANs

GAN in Tensorflow to be run via Linux command line

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Unofficial implementation of StyleGAN's generator

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Chainer implementation of the Wesserstein GAN

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Generate Cartoon Images using Generative Adversarial Network

Applied Deep Learning (2019 Spring) @ NTU

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Keras implementation of 3D Generative Adversarial Network.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Generate text boxes from input words with a GAN.

An extremely simple generative adversarial network, built with TensorFlow

Tensorflow implementation of variational auto-encoder for MNIST

Tutorial on GANs

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow