856 Open source projects that are alternatives of or similar to Cartoongan Tensorflow

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

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

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

my own deep learning mastery roadmap

The simplest implementation toward the idea of Re-cycle GAN

Little More Advanced TensorFlow Implementations

Generative Adversarial Network with Weight Normalization + ResNet

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

Face generator from sketches using cGAN (pix2pix) model

a tensorflow implementation of WGAN

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Whitening and Coloring transform for GANs

Enable TensorBoard for TensorFlow Go API

Build deep learning applications in a new and easy way.

Isometric voxel generative art

Generative d.Art with Flutter

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

A toolbox for differentially private data generation

🤖A list of resources to help anyone getting started with GANs 🤖

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

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Generative Adversarial Networks in PyTorch

CycleGAN based neural network architecture to change the gender of a person’s face

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

A platform for playing generative music in the browser.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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

Framed Visuals: collaborative generative art.

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Chainer implementation of the Wesserstein GAN

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

Synthetic Data Generation for mixed-type, multivariate time series.

Generate cat images with neural networks

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Benchmarking synthetic data generation methods.

A system for making generative systems

Twitter bot that glitches photos on the fly

Introduction to Generative Adversarial Networks

Tensorflow Implementation of DiscoGAN

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

My pytorch implementation for GAN

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Visual experiments exploring diffusion-limited aggregation (DLA) as a 2D morphogenesis tool.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

MelGAN vocoder (compatible with NVIDIA/tacotron2)

Create Generative Art with R

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

A simple library that implements CLIP guided loss in PyTorch.

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

ECE 535 - Course Project, Deep Learning Framework

Tensorboard for Caffe2

Generative Art in Go

Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility