Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
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ConganContinious Generative Adversarial Network
Stars: ✭ 41 (-77.22%)
HyperganComposable GAN framework with api and user interface
Stars: ✭ 1,104 (+513.33%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+580%)
PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
Stars: ✭ 4,987 (+2670.56%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (+115%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-61.11%)
Neural DoodleTurn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Stars: ✭ 9,680 (+5277.78%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+1029.44%)
Glcic PytorchA High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
Stars: ✭ 141 (-21.67%)
TileganCode for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019)
Stars: ✭ 166 (-7.78%)
VocganVocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Stars: ✭ 158 (-12.22%)
Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
Stars: ✭ 157 (-12.78%)
Flappy EsFlappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-22.22%)
FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Stars: ✭ 176 (-2.22%)
3d IwganA repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Stars: ✭ 166 (-7.78%)
Deepmappingcode/webpage for the DeepMapping project
Stars: ✭ 140 (-22.22%)
Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
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MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1354.44%)
Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Stars: ✭ 140 (-22.22%)
Synthetic2realisticECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
Stars: ✭ 165 (-8.33%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (-12.78%)
HisdOfficial pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
Stars: ✭ 148 (-17.78%)
Isolation ForestA Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Stars: ✭ 139 (-22.78%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-23.33%)
FactorvaePytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Stars: ✭ 176 (-2.22%)
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (-9.44%)
CsmCode release for "Canonical Surface Mapping via Geometric Cycle Consistency"
Stars: ✭ 156 (-13.33%)
Alphagan MattingThis project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
Stars: ✭ 138 (-23.33%)
SplitbrainautoSplit-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Stars: ✭ 137 (-23.89%)
Autoregressive Predictive CodingAutoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Stars: ✭ 138 (-23.33%)
Fq GanOfficial implementation of FQ-GAN
Stars: ✭ 137 (-23.89%)
Pix2pix FilmAn implementation of Pix2Pix in Tensorflow for use with frames from films
Stars: ✭ 162 (-10%)
Vae Lagging EncoderPyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
Stars: ✭ 153 (-15%)
AvirHigh-quality pro image resizing / scaling C++ library, image resize
Stars: ✭ 135 (-25%)
Deep Smile WarpDeepWarp for Facial Expression Manipulation
Stars: ✭ 153 (-15%)
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (-3.89%)
Php LegofyTransform your images as if they were made out of LEGO bricks.
Stars: ✭ 161 (-10.56%)
WallgenGenerate HQ poly wallpapers
Stars: ✭ 153 (-15%)
Nuxt Image Loader ModuleAn image loader module for nuxt.js that allows you to configure image style derivatives.
Stars: ✭ 135 (-25%)
ArflowThe official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Stars: ✭ 134 (-25.56%)
Go Tsnet-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
Stars: ✭ 153 (-15%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-25.56%)
Transparent latent ganUse supervised learning to illuminate the latent space of GAN for controlled generation and edit
Stars: ✭ 1,934 (+974.44%)
ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
Stars: ✭ 151 (-16.11%)
AndOfficial Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
Stars: ✭ 133 (-26.11%)
Novelty DetectionLatent space autoregression for novelty detection.
Stars: ✭ 152 (-15.56%)
Electra中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
Stars: ✭ 132 (-26.67%)
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Stars: ✭ 179 (-0.56%)