Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.
P. Turney. ACL-44: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, page 313--320. Morristown, NJ, USA, Association for Computational Linguistics, (2006)
P. Cimiano, and J. Völker. Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB), volume 3513 of Lecture Notes in Computer Science, page 227-238. Alicante, Spain, Springer, (June 2005)
P. Cimiano, J. Völker, and R. Studer. Information, Wissenschaft und Praxis, 57 (6-7):
315-320(October 2006)see the special issue for more contributions related to the Semantic Web.
J. Völker, D. Vrandecic, Y. Sure, and A. Hotho. Proceedings of the European Semantic Web Conference, ESWC2007, volume 4519 of Lecture Notes in Computer Science, Springer-Verlag, (July 2007)
P. Cimiano, A. Hotho, and S. Staab. Proceedings of the European Conference on Artificial Intelligence (ECAI'04), page 435-439. Valencia, Spain, IOS Press, (2004)
W. Lee. ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning, page 314--321. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
D. Billsus, and M. Pazzani. ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning, page 46--54. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (1998)