path planning GANPath Planning using Generative Adversarial Network (GAN)
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Mutual labels: generative-adversarial-network
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
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Mutual labels: generative-adversarial-network
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Stars: ✭ 47 (+213.33%)
Mutual labels: generative-adversarial-network
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%)
Mutual labels: generative-adversarial-network
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
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Mutual labels: generative-adversarial-network
DiscoGAN-TFTensorflow Implementation of DiscoGAN
Stars: ✭ 57 (+280%)
Mutual labels: generative-adversarial-network
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%)
Mutual labels: generative-adversarial-network
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+1266.67%)
Mutual labels: generative-adversarial-network
SDGymBenchmarking synthetic data generation methods.
Stars: ✭ 177 (+1080%)
Mutual labels: generative-adversarial-network
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+1746.67%)
Mutual labels: generative-adversarial-network
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (+26.67%)
Mutual labels: generative-adversarial-network
simpleganTensorflow-based framework to ease training of generative models
Stars: ✭ 19 (+26.67%)
Mutual labels: generative-adversarial-network
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+5726.67%)
Mutual labels: generative-adversarial-network
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%)
Mutual labels: generative-adversarial-network
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
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Mutual labels: generative-adversarial-network
pytorch-GANMy pytorch implementation for GAN
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Mutual labels: generative-adversarial-network
Easter-Bootcamp-2018Designed to take you from zero experience to GANs within a week.
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Mutual labels: generative-adversarial-network
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
Stars: ✭ 44 (+193.33%)
Mutual labels: generative-adversarial-network
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%)
Mutual labels: generative-adversarial-network
