564 Open source projects that are alternatives of or similar to Dcgan Tensorflow

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

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

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

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

MelGAN vocoder (compatible with NVIDIA/tacotron2)

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

Advanced Deep Learning with Keras, published by Packt

An AI for Music Generation

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

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Synthesizing and manipulating 2048x1024 images with conditional GANs

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

ProGAN package implemented as an extension of PyTorch nn.Module

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

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

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).

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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

Looking up a generative latent vectors from (face) reference images.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

a tensorflow implementation of WGAN

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Solve captcha without manually labeling a training set

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

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

Resources on Music Generation with Deep Learning

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

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

Chainer implementation of recent GAN variants

A timeline showing the development of Generative Adversarial Networks (GAN).

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Implementation of the mixup training method

StyleGAN 2 in Tensorflow 2.0

Awesome paper list with code about generative adversarial nets

深度学习入门教程, 优秀文章, Deep Learning Tutorial

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

A collection of deep learning tutorials using Tensorflow and Python

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

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

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

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

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

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

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

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

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

Little More Advanced TensorFlow Implementations

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks