Papers with Code 아카이브
Synthetic Data Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 4
The generation of tabular data by any means possible.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Venkateshwar2506/WGAN---PyTorch-implementation
https://github.com/VitoRazor/Gan_Architecture
https://github.com/WangZesen/WGAN-GP-Tensorflow-v2
https://github.com/WuChenshen/MeRGAN
https://github.com/YuguangTong/improved_wgan_training
https://github.com/Yukino1010/WGAN-GP
https://github.com/Zachdr1/WGAN
https://github.com/a-nau/easy-image-scraping
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
https://github.com/a-nau/image-selection-and-cnn-training
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
https://github.com/adler-j/bwgan
https://github.com/aelnouby/Text-to-Image-Synthesis
https://github.com/akashpalrecha/deblurring-pipeline
https://github.com/akashpalrecha/superres-deformable
https://github.com/akshay-gupta123/WGAN
https://github.com/alan-chengzhang/GAN_Advance-Machine-Learning
https://github.com/alectryonexamples/gan_tf2
https://github.com/amoghadishesha/W-gan-Simple
https://github.com/amurthy1/dagan_torch
https://github.com/apisarek/gan_advances
https://github.com/arnonbruno/ganify
https://github.com/arturml/pytorch-wgan-gp
https://github.com/asierae/VoiceDCGAN
https://github.com/bcmi/TopNet-Object-Placement
https://github.com/beresandras/gan-flavours-keras
https://github.com/bhargavajs07/Packed-Wasserstein-GAN-with-GradientPenalty-Example
https://github.com/bhargavajs07/Packed_WGAN_GP_Example
https://github.com/bigmao8576/WGAN-GP-Tensorflow2
https://github.com/biswa380/t5_multitask_api
https://github.com/catalyst-team/gan
https://github.com/cedricoeldorf/ConditionalStyleGAN
https://github.com/changwoolee/WGAN-GP-tensorflow
https://github.com/chanshing/geocondition
https://github.com/chanshing/sobolev_gan
https://github.com/charlescheng0117/pytorch-WGAN-GP-TTUR-CelebA
https://github.com/chiqunz/Unsupervised_Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.