Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge. - GitHub - d2l-ai/d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
A. Rosenberg, and J. Hirschberg. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning(EMNLP-CoNLL), page 410--420. (2007)
R. Rehurek, and P. Sojka. Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, page 45--50. Valletta, Malta, ELRA, (May 22, 2010)
C. Scholz, J. Illig, M. Atzmueller, and G. Stumme. Proceedings of the 25th ACM Conference on Hypertext and Social Media, page 279--284. Santiago, Chile, ACM, (September 2014)
B. Schäfermeier, T. Hanika, and G. Stumme. 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), November 12--14, 2019, Houston, TX, USA, (2019)
M. Youssef, and A. Agrawala. MobiSys '05: Proceedings of the 3rd international conference on Mobile systems, applications, and services, page 205--218. New York, NY, USA, ACM, (2005)
S. Moosavi-Dezfooli, Y. Pignolet, and D. Dzung. Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks, page 41--46. USA, Junction Publishing, (2016)