440 Open source projects that are alternatives of or similar to Tpudcgan

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

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

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Awesome Generative Adversarial Networks with tensorflow

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GANs Implementations in Keras

基于keras使用dcgan自动生成动漫头像

Chainer implementation of Wasserstein GAN

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

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

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

DCGAN image generator 🖼️.

Interactive Image Generation via Generative Adversarial Networks

DCGAN Implementation using PyTorch in both C++ and Python

Periodic Spatial Generative Adversarial Networks

The Simplest DCGAN Implementation

A DCGAN that generate Cat pictures 🐱‍💻

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

DCGAN face generator 🧑.

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

爬虫+脸部识别+DCGAN脸部自动生成

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

Generate cat images with neural networks

Simple Implementation of many GAN models with PyTorch.

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

GAN in Tensorflow to be run via Linux command line

Semantic Image Inpainting

Study Friendly Implementation of DCGAN in Tensorflow

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

PyTorch Implementation of DCGAN trained on the CelebA dataset.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Advanced Deep Learning with Keras, published by Packt

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

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

Replace faces in a video with imaginary persons generated by a progressive GAN deep neural network

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Speech Enhancement Generative Adversarial Network in TensorFlow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

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

DeepNude source code，without watermark，with demo and model download link，one command to run offline，GAN/Pytorch/pix2pix/pic2pic

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.

A GAN for the generation of mock astronomical surveys

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

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

Toolbox of models, callbacks, and datasets for AI/ML researchers.

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

Voice Conversion with GANs

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Synthesizing and manipulating 2048x1024 images with conditional GANs

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).

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

a tensorflow implementation of WGAN