anime2clothingPytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.
Stars: ✭ 65 (+225%)
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
Stars: ✭ 161 (+705%)
TET-GAN[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization
Stars: ✭ 74 (+270%)
text2paintingConvert text into beautiful artistic images
Stars: ✭ 55 (+175%)
automatic-manga-colorizationUse keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
Stars: ✭ 20 (+0%)
PiqMeasures and metrics for image2image tasks. PyTorch.
Stars: ✭ 230 (+1050%)
Child-Face-GenerationDeep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces
Stars: ✭ 26 (+30%)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (+435%)
Nlpgnn1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Stars: ✭ 221 (+1005%)
metricsIS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (+355%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (+595%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (+50%)
pix2pix-tensorflowA minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
Stars: ✭ 22 (+10%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (+5%)
Rnn.wganCode for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
Stars: ✭ 252 (+1160%)
The Gan WorldEverything about Generative Adversarial Networks
Stars: ✭ 243 (+1115%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (+25%)
Nn🧑🏫 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, ... 🧠
Stars: ✭ 5,720 (+28500%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+13105%)
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (+20%)
Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (+990%)
infnet-spenTensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
Stars: ✭ 30 (+50%)
PerceptualGANPytorch implementation of Image Manipulation with Perceptual Discriminators paper
Stars: ✭ 119 (+495%)
unrolled-gansPyTorch Implementation of Unrolled Generative Adversarial Networks
Stars: ✭ 35 (+75%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (+25%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (+65%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (+20%)
ZSL-ADACode accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"
Stars: ✭ 18 (-10%)
pytorch ganSpectral Normalization and Projection Discriminator
Stars: ✭ 16 (-20%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (+50%)
scrabble-ganAdversarial Generation of Handwritten Text Images
Stars: ✭ 49 (+145%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (+95%)
PixeldtganA torch implementation of "Pixel-Level Domain Transfer"
Stars: ✭ 248 (+1140%)
TorchfusionA modern deep learning framework built to accelerate research and development of AI systems
Stars: ✭ 244 (+1120%)
CariMe-pytorchUnpaired Caricature Generation with Multiple Exaggerations (TMM 2021)
Stars: ✭ 33 (+65%)
AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Stars: ✭ 239 (+1095%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-10%)
GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
Stars: ✭ 233 (+1065%)
Gan TutorialSimple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (+1035%)
videoMultiGANEnd to End learning for Video Generation from Text
Stars: ✭ 53 (+165%)
Gan steerabilityOn the "steerability" of generative adversarial networks
Stars: ✭ 225 (+1025%)
SeqGAN-PyTorchImplementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Stars: ✭ 40 (+100%)
wc-ganWhitening and Coloring transform for GANs
Stars: ✭ 33 (+65%)
Pytorch-Image-Translation-GANsPytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.
Stars: ✭ 106 (+430%)
MoveSimCodes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
Stars: ✭ 16 (-20%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (+20%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (+150%)