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Common utilities for ONNX converters
ONNX.js: run ONNX models using JavaScript
demos to show the capabilities of ONNX.js
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Examples for using ONNX Runtime for model training.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Microsoft Open Maps Team
Open Use of Data Agreement - Removing Barriers to Data Innovation
Information related to OpenAPI usage at Microsoft
The OpenAPI.NET SDK contains a useful object model for OpenAPI documents in .NET along with common serializers to extract raw OpenAPI JSON and YAML documents from the model.
Generates OpenAPI Document from C# Annotations
Generates OpenAPI document from OData CSDL
The OpenCL-on-D3D12 mapping layer
Meet Brady!
Open Source Computer Vision Library
Repository for OpenCV's extra modules
This tool transpiles openCypher graph query language to a relational database query language. This project publishes a T-SQL for Microsoft SQL Server as the target query language.
A repository for maintaining Open Enclave integration tests with AKS
Sandbox repo for extra or experimental samples.
Prototype for using GRPC inside openenclave
Prototype of using protobuf from within an Open Enclave enclave.
Prototype of accessing the TPM from within an Open Enclave enclave.
Guest Compute Service for Linux Hyper-V Container
This repository contains Microsoft OpenHack's open source code and documentation.
Devops Openhack Team Environment APIs
Microsoft builds of OpenJDK for AArch64 Platforms
A place for Microsoft's Java Engineering Group to put OpenJDK JEPs and/or patches before we submit to OpenJDK
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
Runtime for deep learning workload
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.