Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pytorch Cyclegan And Pix2pix | 21,090 | 5 months ago | 519 | other | Python | |||||
Image-to-Image Translation in PyTorch | ||||||||||
Cyclegan | 11,829 | 7 months ago | 56 | other | Lua | |||||
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more. | ||||||||||
Paddlegan | 7,443 | 4 months ago | 6 | December 08, 2021 | 279 | apache-2.0 | Python | |||
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on. | ||||||||||
Deep Learning 21 Examples | 3,883 | 5 years ago | 43 | Python | ||||||
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码 | ||||||||||
Deepnude An Image To Image Technology | 3,404 | 4 years ago | Python | |||||||
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。 | ||||||||||
Ganotebooks | 1,335 | 6 years ago | 11 | mit | Jupyter Notebook | |||||
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch | ||||||||||
Gan Compression | 1,063 | 7 months ago | 9 | other | Python | |||||
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs | ||||||||||
2019 Ccf Bdci Ocr Mczj Ocr Identificationidelement | 706 | 3 years ago | 2 | mit | Python | |||||
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码 | ||||||||||
Paper Implementations | 598 | 7 years ago | 6 | Python | ||||||
Use PyTorch to implement some classic frameworks | ||||||||||
Von | 479 | 4 years ago | 8 | other | Python | |||||
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation. |