6281 Open source projects that are alternatives of or similar to Netgan

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

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

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..

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Discovering Interpretable GAN Controls [NeurIPS 2020]

The implementation of Relativistic average GAN with Keras

Auxiliary Classifier Generative Adversarial Networks in Keras

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Coherent Semantic Attention for image inpainting(ICCV 2019)

Code for "A-NICE-MC: Adversarial Training for MCMC"

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Tutorial on creating your own GAN in Tensorflow

DCGAN image generator 🖼️.

A stable algorithm for GAN training

Tutorial on GANs

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

On the "steerability" of generative adversarial networks

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

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Spectral Normalization for Keras Dense and Convolution Layers

Deep learning codes and projects using Python

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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

Voice Conversion using Cycle GAN's For Non-Parallel Data

Projecting images to latent space with StyleGAN2.

Solve captcha without manually labeling a training set

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

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

Projects done in the Data Engineering Nanodegree by Udacity.com

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Software that can autocomplete sketches as the user starts drawing.

Welcome to Glacier Data Project. A post-wuhan2020 project for data science

ASAP: Prioritizing Attention via Time Series Smoothing

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

A New, Interactive Approach to Learning Python

Introduction to Statistical Modeling with Python (PyCon 2017)

A PyTorch implementation for StyleGAN with full features.

Collection of Artificial Intelligence projects.

开源的各大比赛baseline

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Notebooks for upcoming fastai book (draft / incomplete)

Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Here lies all the exercises I implement and share in my website

Various math-related things in Python code