670 Open source projects that are alternatives of or similar to Wgan

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

A 1D toy example of optimizing a generative model using the WGAN-GP model.

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

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

Stacked Generative Adversarial Networks

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

基于Tensorflow2开发的优秀扩展包及项目

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

An AI based application to identify currency and gives audio feedback.

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

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

Conditional GAN for Anime face generation.

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

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

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

My pytorch implementation for GAN

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Balanced Multiclass Image Classification with TensorFlow on Python.

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..

[CVPR2020] Adversarial Latent Autoencoders

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

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

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

TriangleGAN, ACM MM 2019.

How to use TensorLayer

Spectral Normalization for Keras Dense and Convolution Layers

A stable algorithm for GAN training

Tensor Flow implementation for Android

Improving MMD-GAN training with repulsive loss function

Generative Adversarial Networks in TensorFlow 2.0

Tensorflow-based framework to ease training of generative models

Age + Gender Estimation on Android with TensorFlow Lite

Pytorch implementation of CycleGAN.

Listing my favorite research papers 📝 from different fields as I read them.

Generative Adversarial Networks in PyTorch

Semantic Image Inpainting

GAN in Tensorflow to be run via Linux command line

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Anime Generation

Code for GAN2Shape (ICLR2021 oral)

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Coherent Semantic Attention for image inpainting(ICCV 2019)

Learning kernels to maximize the power of MMD tests

Distributed Keras Engine, Make Keras faster with only one line of code.

Tensorflow implementation of generative adversarial imitation learning

Style transfer using deep convolutional neural nets

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

A collection of arbitrary text to image papers with code (constantly updating)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model