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

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

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

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

PyTorch study

Colorization of grayscale images using CycleGAN in TensorFlow.

Repository for MAD-GAN Paper done in ML CAMP Jeju

A free audio dataset of spoken digits. Think MNIST for audio.

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Generate image from text with Generative Adversarial Network

Variational Neural Machine Translation System

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Interactive Image Generation via Generative Adversarial Networks

Tensorflow-example：使用MNIST训练模型，并识别手写数字图片

Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

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

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Implementation of Conditional Generative Adversarial Networks in PyTorch

Variational autoencoders for collaborative filtering

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

Tutorial on creating your own GAN in Tensorflow

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Convolutional Neural Network with CUDA (MNIST 99.23%)

An AI for Music Generation

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

The implementation of StyleGAN on PyTorch 1.0.1

A sketch extractor for anime/illustration.

Using various CNN techniques on the MNIST dataset

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

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

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

mnist with Tensorflow

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Neural network library written in C and Javascript

30 Days GANs Paper Reading

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

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Showcasing various fun adventures with GANs

Awesome Generative Adversarial Networks with tensorflow

Implementation of key concepts of neuralnetwork via numpy

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

Deep probabilistic analysis of single-cell omics data

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

An Introduction to Deep Generative Modeling: Examples

Handwritten text to synths!

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"