Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Animegan2 Pytorch | 3,976 | a year ago | 31 | mit | Jupyter Notebook | |||||
PyTorch implementation of AnimeGANv2 | ||||||||||
Zhihu | 3,228 | 3 years ago | 31 | Jupyter Notebook | ||||||
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. | ||||||||||
Zi2zi | 1,639 | 5 years ago | 44 | apache-2.0 | Python | |||||
Learning Chinese Character style with conditional GAN | ||||||||||
Data Augmentation Review | 1,499 | 6 months ago | ||||||||
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others. | ||||||||||
Hidt | 641 | a year ago | 8 | bsd-3-clause | Jupyter Notebook | |||||
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral) | ||||||||||
Dct Net | 618 | 6 months ago | 42 | apache-2.0 | Jupyter Notebook | |||||
Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization | ||||||||||
Shapematchinggan | 425 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN | ||||||||||
Few Shot Patch Based Training | 326 | 3 years ago | 3 | C++ | ||||||
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training | ||||||||||
Cartoonify | 313 | a year ago | 3 | mit | Jupyter Notebook | |||||
Deploy and scale serverless machine learning app - in 4 steps. | ||||||||||
Blendgan | 310 | 2 years ago | 3 | other | Python | |||||
Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021) |