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