576 Open source projects that are alternatives of or similar to DCGAN-Pytorch

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Simple Implementation of many GAN models with PyTorch.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

Tensorflow implementation of different GANs and their comparisions

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Semantic Image Inpainting

Study Friendly Implementation of DCGAN in Tensorflow

Experiments for understanding disentanglement in VAE latent representations

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

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

A large-scale face dataset for face parsing, recognition, generation and editing.

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Implementation of Conditional Generative Adversarial Networks in PyTorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

[CVPR2020] Adversarial Latent Autoencoders

GAN in Tensorflow to be run via Linux command line

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..

The Simplest DCGAN Implementation

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

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

The implementation of Relativistic average GAN with Keras

🎎 InfoGAN: Interpretable Representation Learning

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Image-to-image translation with conditional adversarial nets

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

DCGAN Implementation using PyTorch in both C++ and Python

Improving MMD-GAN training with repulsive loss function

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

DCGAN image generator 🖼️.

Generative Adversarial Networks in TensorFlow 2.0

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Invert the color of MNIST images with PyTorch

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Awesome Generative Adversarial Networks with tensorflow

Interactive Image Generation via Generative Adversarial Networks

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Chainer implementation of recent GAN variants

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Collection of generative models in Pytorch version.

A curated list of dedicated resources and applications

3D-aware GANs based on NeRF (arXiv).

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

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

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

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Tensorflow implementation of adversarial auto-encoder for MNIST

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