Deep Lake, a Lakehouse for Deep Learning: Conclusions, Acknowledgement, and References

Authors: Sasun Hambardzumyan, Activeloop, Mountain View, CA, USA; Abhinav Tuli, Activeloop, Mountain View, CA, USA; Levon Ghukasyan, Activeloop, Mountain View, CA, USA; Fariz Rahman, Activeloop, Mountain View, CA, USA;.

Michael Armbrust, Tathagata Das, Liwen Sun, Burak Yavuz, Shixiong Zhu, Mukul Murthy, Joseph Torres, Herman van Hovell, Adrian Ionescu, Alicja Łuszczak, et al. 2020. Delta lake: high-performance ACID table storage over cloud object stores. Proceedings of the VLDB Endowment 13, 12 , 3411–3424. Michael Armbrust, Ali Ghodsi, Reynold Xin, and Matei Zaharia. 2021. Lakehouse: a new generation of open platforms that unify data warehousing and advanced analytics. In Proceedings of CIDR.

An open large-scale dataset for training next generation image-text models. . Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021. Laion400m: Open dataset of clip-filtered 400 million image-text pairs. arXiv preprint arXiv:2111.02114 . Philip Schwan et al. 2003. Lustre: Building a file system for 1000-node clusters. In Proceedings of the 2003 Linux symposium, Vol. 2003. 380–386.

The authors would like to thank Richard Socher, Travis Oliphant, Charu Rudrakshi, Artem Harutyunyan, Iason Ofeidis, Diego Kiedanski, Vishnu Nair, Fayaz Rahman, Dyllan McCreary, Benjamin Hindman, Eduard Grigoryan, Kristina Grigoryan, Ben Chislett, Joubin Houshyar, Andrii Liubimov, Assaf Pinhasi, Vishnu Nair, Eshan Arora, Shashank Agarwal, Pawel Janowski, Kristina Arezina, Gevorg Karapetyan, Vigen Sahakyan and the open-source community including contributors. The project was funded by Activeloop.

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