Vinaya Sathyanarayana's Projects
MathJax for Node
A web component for easy math input
JSX in Markdown for ambitious projects
MEAN (Mongo, Express, Angular, Node) - A Simple, Scalable and Easy starting point for full stack javascript web development - utilizing many of the best practices we've found on the way
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine
Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input
📜 Extract meaningful content from the chaos of a web page
Generation of diagram and flowchart from text in a similar manner as markdown
Edit, preview and share mermaid charts/diagrams.
sendmail for MailHog
A simple screenshots compare solution for visual regression test
Kubernetes native tool for mocking and testing API and micro-services
Sample code of application examples to build microservices with converged Oracle database and multi-cloud / hybrid cloud services
Deployment scripts & config for Sock Shop
Microsoft Power BI Cookbook, published by Packt
Lightweight Project and Task Management for Force.com #forcedotcom
Bridge to Kubernetes - for Visual Studio and Visual Studio Code
Minio is an open source object storage server compatible with Amazon S3 APIs
MITIE: library and tools for information extraction
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
12 weeks, 24 lessons, classic Machine Learning for all
ML4Chem: Machine Learning for Chemistry and Materials
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
This open source project contains source code to build a Xamarin iOS and Android mobile app. Once compiled the app can be used to analyze and interpret chest x-ray images. This experimental research project is used to supplement the release of the machine learning model (https://blogs.technet.microsoft.com/machinelearning/2018/03/07/using-microsoft-ai-to-build-a-lung-disease-prediction-model-using-chest-x-ray-images/).
Mobile Security Framework is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing framework capable of performing static analysis, dynamic analysis, malware analysis and web API testing.
A simplified way to generate masive mock data based on a schema, using the awesome fake/random data generators like (FakerJs, ChanceJs, CasualJs and RandExpJs), all in one tool to generate your fake data for testing.
Meta-model based data structures for those who need it