862 Open source projects that are alternatives of or similar to Triple Gan

Solve captcha without manually labeling a training set

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

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

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

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

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InstaGAN: Instance-aware Image Translation (ICLR 2019)

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Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

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Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

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

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

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

The implementation of Relativistic average GAN with Keras

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Collection of generative models in Tensorflow

Image-to-image translation with conditional adversarial nets

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Conditional GAN for Anime face generation.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Pytorch implementation of pix2pix for various datasets.

Compute FID scores with PyTorch.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

SpecGAN - generate audio with adversarial training

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

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

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Awesome GAN for Medical Imaging

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Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Composable GAN framework with api and user interface

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Using Machine Learning to predict the type of exercise from movement data

Handwritten Chinese Characters Generation

Periodic Spatial Generative Adversarial Networks

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

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

Code for GAN2Shape (ICLR2021 oral)

Projecting images to latent space with StyleGAN2.

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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An implementation of CycleGan using TensorFlow

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

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