How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Shanshan Zhao♯ , Qing-Guo Chen , Xuerui Qiu , Jialun Liu , Zhao Xu , Weihua Luo , Kaifu Zhang , Yanye Lu♯
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
The main features of bioinf-jku/ttur are: Generative Models, Theory and Training.
Projects with overlapping indexed features include: martinarjovsky/wassersteingan — Wasserstein GAN. addtt/ladder-vae-pytorch. aidc-ai/omni-view — Shanshan Zhao♯ , Qing-Guo Chen , Xuerui Qiu , Jialun Liu , Zhao Xu , Weihua Luo , Kaifu Zhang , Yanye Lu♯. aiff22/dped — Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks. ajbrock/biggan-pytorch — The author's officially unofficial PyTorch BigGAN implementation. abisee/pointer-generator — Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks".
