506 Open source projects that are alternatives of or similar to WGAN-GP-TensorFlow

my own deep learning mastery roadmap

PyTorch study

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Improving MMD-GAN training with repulsive loss function

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

🤖🖌️ 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.

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

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

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

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

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

Deep learning image autoencoder that not depends on image resolution

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

[CVPR 2021] EII: Image Inpainting with External-Internal Learning and Monochromic Bottleneck

Implementation of Conditional Generative Adversarial Networks in PyTorch

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

A data-driven approach for interactively synthesizing diverse images from semantic label maps.

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

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Generative Adversarial Networks in TensorFlow 2.0

Benchmarking synthetic data generation methods.

Paper notes in deep learning/machine learning and computer vision

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

This repository contains a new adversarial training method for Generative Conversational Agents

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Tensorflow-based framework to ease training of generative models

No description or website provided.

Unofficial pytorch implementation of algorithms for domain adaptation

Tensorflow Implementation of DiscoGAN

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Least Squares Generative Adversarial Network implemented in Chainer

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

StyleGAN Encoder - converts real images to latent space

Progressive GANによる画像生成器

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

My pytorch implementation for GAN

Local image generation using VQGAN-CLIP or CLIP guided diffusion

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Attribute-Guided Sketch-to-Image Generation

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Assessing Generative Models via Precision and Recall (official repository)

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

30 Days GANs Paper Reading

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Models generated by CycleGAN

Generate images from texts. In Russian