pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (+104.17%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+2625%)
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Stars: ✭ 110 (+358.33%)
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-41.67%)
Pytorch AddaA PyTorch implementation for Adversarial Discriminative Domain Adaptation
Stars: ✭ 329 (+1270.83%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (+312.5%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+1054.17%)
SDGymBenchmarking synthetic data generation methods.
Stars: ✭ 177 (+637.5%)
path planning GANPath Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (+50%)
PESROfficial code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (+16.67%)
adversarial-networksMaterial de la charla "The bad guys in AI - atacando sistemas de machine learning"
Stars: ✭ 15 (-37.5%)
DiscoGAN-TFTensorflow Implementation of DiscoGAN
Stars: ✭ 57 (+137.5%)
bmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
Stars: ✭ 58 (+141.67%)
BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
Stars: ✭ 31 (+29.17%)
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (+8.33%)
DASCode and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.
Stars: ✭ 48 (+100%)
CrossNERCrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
Stars: ✭ 87 (+262.5%)
SFAOfficial Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"
Stars: ✭ 79 (+229.17%)
Deep-FakesNo description or website provided.
Stars: ✭ 88 (+266.67%)
Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
Stars: ✭ 62 (+158.33%)
MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-29.17%)
text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
Stars: ✭ 25 (+4.17%)
CAC-UNet-DigestPath20191st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 83 (+245.83%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+754.17%)
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 (+108.33%)
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 (+275%)
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 (+166.67%)
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Stars: ✭ 47 (+95.83%)
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+3541.67%)
gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
Stars: ✭ 23 (-4.17%)
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (+154.17%)
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 (+45.83%)
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
Stars: ✭ 48 (+100%)
simpleganTensorflow-based framework to ease training of generative models
Stars: ✭ 19 (-20.83%)
CIPS-3D3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+2241.67%)
videoDCGANImplementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
Stars: ✭ 14 (-41.67%)
IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 84 (+250%)
pytorch-GANMy pytorch implementation for GAN
Stars: ✭ 12 (-50%)
Easter-Bootcamp-2018Designed to take you from zero experience to GANs within a week.
Stars: ✭ 24 (+0%)
timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (+91.67%)
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 23 (-4.17%)
MMD-GANImproving MMD-GAN training with repulsive loss function
Stars: ✭ 82 (+241.67%)
ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (-4.17%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+145.83%)
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+1520.83%)
text2imageNetGenerate image from text with Generative Adversarial Network
Stars: ✭ 26 (+8.33%)
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 (+54.17%)
DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
Stars: ✭ 27 (+12.5%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-25%)