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Uber Open Source

Videos

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1 — [Uber Open Source] Engineering an H3-based Geospatial Data Platform at Uber
Uber Open Source
2 — [StackUp] TimescaleDB: Performant Time-series Data Management and Analytics with PostgresSQL
Uber Open Source
3 — [StackUp] Open Sourcing Kaltura
Uber Open Source
4 — [XGBoost Meetup] Introduction to the XGBoost Community -- Nan Zhu & Philip Cho
Uber Open Source
5 — [XGBoost Meetup] Learning Deep Forest using XGBoost -- Yin Lou
Uber Open Source
6 — [StackUp] vis.gl: Open source Tools for Large-scale Geospatial Data Visualization
Uber Open Source
7 — [Uber Open Source] New Features in Pinot: Standard SQL and Cloud Readiness
Uber Open Source
8 — [StackUp] Open Source at Red Hat
Uber Open Source
9 — [Uber Open Source] Leveraging Pinot at Uber for Large-scale Analytics
Uber Open Source
10 — [XGBoost Meetup] Machine Learning with Large-scale Telematics Data -- Wayne Zhang & Gorkem Ozkaya
Uber Open Source
11 — [Uber Open Source ] Distributed Deep Learning with Horovod -- Alex Sergeev
Uber Open Source
12 — Piranha: An Open Source Tool to Automatically Delete Stale Code
Uber Open Source
13 — [Uber Open Source] Petastorm: Uber ATG's Data Access Library for Deep Learning -- Yevgeni Litvin
Uber Open Source
14 — [Uber Open Source] Ludwig: A Code-free Deep Learning Toolbox
Uber Open Source
15 — Ludwig: A Toolbox for Training and Testing Deep Learning Models without Writing Code
Uber Open Source
16 — [Uber Open Source] Apache Zeppelin: Preview 0.9.0
Uber Open Source
17 — [Uber Open Source] Engineering Sub-City Geos for a Hyper-Local Marketplace with Uber
Uber Open Source
18 — [Uber Open Source] Building City Cores with H3
Uber Open Source
19 — [Uber Open Source] Understanding the History of Apache Pinot
Uber Open Source
20 — [Uber Open Source] Using Apache Pinot at Scale
Uber Open Source