592 Open source projects that are alternatives of or similar to Rnn.wgan

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

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

Simple Implementation of many GAN models with PyTorch.

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

GANs Implementations in Keras

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Chainer implementation of Wasserstein GAN

Tensorflow implementation of different GANs and their comparisions

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Image-to-Image Translation in PyTorch

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

Chainer implementation of the Wesserstein GAN

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Collection of generative models in Tensorflow

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

Collection of generative models in Pytorch version.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

StarNet

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

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

Generate Cartoon Images using Generative Adversarial Network

Awesome Generative Adversarial Networks with tensorflow

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

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

A very simple generative adversarial network (GAN) in PyTorch

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

A tool that AI automatically recommends commit messages.

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

GAN讨论群讨论汇总的地方

Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

A modern deep learning framework built to accelerate research and development of AI systems

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Summaries of machine learning papers

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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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Symbolic Music Genre Transfer with CycleGAN

On the "steerability" of generative adversarial networks

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

The author's officially unofficial PyTorch BigGAN implementation.