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deck.gl - WebGL based visualization layers
Provides tested, highly performant layers for data visualization, such as scatterplots, arcs, geometries defined in GeoJSON, etc...To learn how to use deck.gl through examples coming with the deck.gl repo, please clone the latest release branch.
webgl data-visualization uber visualization overlay layerreact-map-gl - React friendly API wrapper around MapboxGL JS
In addition to exposing MapboxGL functionality to React apps, react-map-gl also integrates seamlessly with deck.gl.browserify - react-map-gl is extensively tested with browserify and works without configuration.
react map mapbox-gl-js mapbox-gl webgl uber data-visualization mapbox react-mapbox-gl react-mapboxreact-vis - Data-Visualization oriented components
A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.Install react-vis via npm.
uber chart data-visualization charting-library visualization react d3 es6 babelluma.gl - A JavaScript WebGL Framework for Data Visualization
luma.gl's provides efficient and easy-to-use WebGL2-based building blocks enabling high-performance GPU-based data visualizations and computations on your browser.See Examples and Documentation. Change Log.
webgl data-visualization uber visualization animation 3dAutoDispose - Automatic binding+disposal of RxJava 2 streams.
AutoDispose is an RxJava 2 tool for automatically binding the execution of RxJava 2 streams to a provided scope via disposal/cancellation.Often (especially in mobile applications), Rx subscriptions need to stop in response to some event (for instance, when Activity#onStop() executes in an Android app). In order to support this common scenario in RxJava 2, we built AutoDispose.
uber autodispose rxjava reactive-extensions reactive-streams rxandroid android kotlin lifecycleh3 - Hexagonal hierarchical geospatial indexing system
H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions. Documentation is available at https://uber.github.io/h3/. Developer documentation in Markdown format is available under the dev-docs directory.
spatial-indexing geospatial uber h3 hexagonAthenaX - SQL-based streaming analytics platform at scale
AthenaX is a streaming analytics platform that enables users to run production-quality, large scale streaming analytics using Structured Query Language (SQL). AthenaX was released and open sourced by Uber Technologies. It is capable of scaling across hundreds of machines and processing hundreds of billions of real-time events daily.Apache 2.0 License.
calcite flink sql uber streaming stream analytics dataPyro - Deep universal probabilistic programming with Python and PyTorch
Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling.
pytorch machine-learning bayesian webppl inference probabilistic-programming probabilistic-graphical-models bayesian-inference variational-inference ubersbnet - Sparse Blocks Networks
This repository releases code for our paper SBNet: Sparse Blocks Network for Fast Inference. Please refer to our blog post for more context. Installation was tested under Ubuntu 14.04 and 16.04 with TensorFlow 1.2, cuDNN 6.0 and cuDNN 5.0. Note that since by default Tensorflow 1.2 comes with cuDNN 5.0, we used a custom build to upgrade to a more recent version so we could compare with PyTorch implementation using the same version of cuDNN). Tensorflow 1.4 currently has a build issue with custom ops, so when compiling for 1.4 you may need to follow some suggestions from this thread.
uber neuralnetworks neuralnetwork tensorflow sbnethorovod - Distributed training framework for TensorFlow.
Horovod is a distributed training framework for TensorFlow. The goal of Horovod is to make distributed Deep Learning fast and easy to use.Internally at Uber we found that it's much easier for people to understand an MPI model that requires minimal changes to source code than to understand how to set up regular Distributed TensorFlow.
tensorflow uber machine-learning machinelearning mpi baidu deep-learning deeplearningNEAL - Automate your code reviews with custom syntactic rules
NEAL (Not Exactly A Linter) is a language-independent code analysis tool that aims to enable more people to write quality enforcement rules.A forced-value consists of any expression that results in an optional value followed by the forced-unwrapping operator (!). Here's a contrived example that would result in a runtime crash.
uber ocamlreact-vis-force - d3-force graphs as React Components.
react-vis-force applies the react-vis and d4-style component approach to the d3-force library. This allows users to declaratively provide links and nodes as children of a ForceGraph component.
visualization uber chart force-directed-graphs react data-visualizationuberscriptquery - UberScriptQuery, a SQL-like DSL to make writing Spark jobs super easy
UberScriptQuery is a script query wrapper to run Spark SQL jobs.Why did we build this? Apache Spark is a great tool to do data processing, yet people usually end up writing many similar Spark jobs. There is substantial development cost to write and maintain all these jobs. Additionally, Spark is still mostly for developers, and other people such as data analysts or data scientists may still feel that Spark has a steep learning curve.
spark uberauto-value-bundle - Extends Autovalue to extract data from a bundle into a value object.
An extension for Google's AutoValue that supports Android Bundle object.Bundles are used to pass data along with intents and services, between activities, and from GCM, among other reasons. However, converting that data from a bundle to a Java object involves a lot of repetitive and error-prone code.
android mobile autovalue data uber javapoet gson guavauber-react - Uber-like project in React Native
All these credentials you get from either Firebase or MapBox websites.
uber react react-native es6 ios maps geolocation firebase geofire mapboxuber-cities - Collect geo information on the cities that Uber is operating in
Scrapes information from Uber.com's list of current cities and stores it in JSON files for further processing. Please understand your responsibilities and liabilities under Uber's Terms of Service for your country before using this software.
uber geo bbox geojsonsurger - ⚡ Is there surge pricing around me right now?
Is there surge pricing around me right now? This little CLI utility will determine your location (currently OS X only) using location services and determine if surge pricing is active within your range.
uber npm-module cli cli-app node gps location-services location wifi cellular command-line-tool surge pricing cabs taxi nyccadence-web - Web UI for visualizing workflows on Cadence
Cadence is a distributed, scalable, durable, and highly available orchestration engine we developed at Uber Engineering to execute asynchronous long-running business logic in a scalable and resilient way. This web UI is used to view workflows from Cadence, see what's running, and explore and debug workflow executions.
cadence workflows uber vuejs2 stylus webpack mocha workflow asynchronoush3-java - Java bindings for H3, a hierarchical hexagonal geospatial indexing system
Java bindings for H3, a hierarchical hexagonal geospatial indexing system.
spatial-indexing geospatial uber h3 hexagonSocial Icons
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