Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Updated
Oct 20, 2021 - Python
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Data Visualization Components
React friendly API wrapper around MapboxGL JS
Open source Uber #deleteuber
Automatic binding+disposal of RxJava streams.
When building algorithms using H3, consumers may need to satisfy specific constraints, e.g. "buffer within X meters of a given point". Our existing edgeLength and hexArea stats are averages, which is insufficient to determine whether a given resolution or buffer size will satisfy the requirement.
I think it would be worthwhile to calculate and publish (either in the library or in the docs)
Fast and flexible Docker image building tool, works in unprivileged containerized environments like Mesos and Kubernetes.
High-performance Toolkit for WebGL-based Data Visualization
Project that demonstrates the entire animation stack present in the Uber app (android)
Ride-Sharing Uber Lyft Android App - Learn to build a ride-sharing Android Taxi Clone App like Uber, Lyft - Open-Source Project By MindOrks
这是我自己做的一个类似滴滴打车的Android出行项目,主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题,以及当前越发火热的或计划和出海战略,给出行项目增加了下面几个功能: 1. RFID识别验证功能:在司机证件或者车内识别硬件嵌入RFID识别芯片,乘客使用手机读取到芯片信息,并且通过网络发送到出行平台数据库进行验证(我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密)。如果不是合规的“人”或“车”,则不能完成订单并向平台或监管单位汇报当前位置。(为了方便读者测试,可以使用手机读取任何一个加密或非加密RFID芯片,比如银行卡、公交卡等,我在代码中的验证前阶段把芯片信息都换成我自己的司机信息,确保读者测试时可以收到服务器的回复) 2. 海外版功能:点击切换当前语言。 3. 司机证件号码识别功能:读取司机证件上的证件号码,也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming,web server ( Apache + PHP + MySQL), and UI. 1.Map route planing。You can use mobile phone choose pick up & destination address,application provide address name hint and draw optimized route for user , then call car for you. 2.RFID authentication function:User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3.Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user.
An information security preparedness tool to do adversarial simulation.
Competitive programming questions.
A demo app showing movement of car on map like in Uber.
h3-js provides a JavaScript version of H3, a hexagon-based geospatial indexing system.
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
Sparse Blocks Networks
d3-force graphs as React Components.
A curated list of previous asked Interview Question at Big Companies and Startups
This is a basic implementation of location listener using Google Maps Api
Add a description, image, and links to the uber topic page so that developers can more easily learn about it.
To associate your repository with the uber topic, visit your repo's landing page and select "manage topics."
currently only Mac is supported. We should also support Linux.
Similar to Homebrew/homebrew-core#74494 for uber/cadence#3932
See doc about how to do it: https://docs.brew.sh/Homebrew-on-Linux