binaryganCode for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
Stars: ✭ 25 (+66.67%)
PESROfficial code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (+86.67%)
CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
Stars: ✭ 31 (+106.67%)
path planning GANPath Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (+140%)
Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (+146.67%)
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 23 (+53.33%)
Deep-FakesNo description or website provided.
Stars: ✭ 88 (+486.67%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+293.33%)
SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Stars: ✭ 118 (+686.67%)
ST-CGANDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 64 (+326.67%)
SMILESMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
Stars: ✭ 28 (+86.67%)
DiscoGAN-TFTensorflow Implementation of DiscoGAN
Stars: ✭ 57 (+280%)
GAN-LTH[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
Stars: ✭ 24 (+60%)
HashGANHashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Stars: ✭ 63 (+320%)
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Stars: ✭ 47 (+213.33%)
Generative MLZSL[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning
Stars: ✭ 37 (+146.67%)
CIPS-3D3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+3646.67%)
market risk gan tensorflowUsing Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
Stars: ✭ 63 (+320%)
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+2493.33%)
MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (+13.33%)
MMD-GANImproving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (+446.67%)
ElegantELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Stars: ✭ 253 (+1586.67%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+1746.67%)
text2imageNetGenerate image from text with Generative Adversarial Network
Stars: ✭ 26 (+73.33%)
simpleganTensorflow-based framework to ease training of generative models
Stars: ✭ 19 (+26.67%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (+20%)
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+5726.67%)
Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
Stars: ✭ 34 (+126.67%)
GraphCNN-GANGraph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Stars: ✭ 50 (+233.33%)
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (+306.67%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+406.67%)
pytorch-GANMy pytorch implementation for GAN
Stars: ✭ 12 (-20%)
speech-enhancement-WGANspeech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
Stars: ✭ 35 (+133.33%)
FAST-RIRThis 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.
Stars: ✭ 90 (+500%)
SSVEP-Neural-Generative-ModelsCode 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
Stars: ✭ 37 (+146.67%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+10720%)
MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Stars: ✭ 16 (+6.67%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+1266.67%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (+40%)
bmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
Stars: ✭ 58 (+286.67%)
deep-blueberryIf 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!
Stars: ✭ 17 (+13.33%)
SDGymBenchmarking synthetic data generation methods.
Stars: ✭ 177 (+1080%)
mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Stars: ✭ 77 (+413.33%)
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (+26.67%)
timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (+206.67%)
Easter-Bootcamp-2018Designed to take you from zero experience to GANs within a week.
Stars: ✭ 24 (+60%)
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
Stars: ✭ 44 (+193.33%)
BPPNet-Back-Projected-Pyramid-NetworkThis is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"
Stars: ✭ 35 (+133.33%)
Sketch2Color-anime-translationGiven a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Stars: ✭ 90 (+500%)
text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
Stars: ✭ 25 (+66.67%)