Library for building distributed, real-time collaborative web applications
Обновлено 2024-11-21 06:07:31 +03:00
Confidential Consortium Framework
Обновлено 2024-11-20 19:45:52 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Обновлено 2024-11-20 04:04:47 +03:00
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
Обновлено 2024-11-19 20:55:08 +03:00
Reliable Services and Reliable Actors are Service Fabric application frameworks for building highly-scalable distributed cloud applications.
Обновлено 2024-11-19 16:51:14 +03:00
Cloud Native application framework for .NET
Обновлено 2024-11-18 06:43:04 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Обновлено 2024-11-17 23:49:19 +03:00
Common Runtime for Applications (CRA) is a software layer (library) that makes it easy to create and deploy distributed dataflow-style applications on top of resource managers such as Kubernetes, YARN, and stand-alone cluster execution.
Обновлено 2024-11-06 04:42:36 +03:00
Shared components used by the Omex team to build scalable and highly available distributed systems
Обновлено 2024-11-01 19:44:53 +03:00
Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.
Обновлено 2024-10-28 17:14:48 +03:00
Microsoft Application Insights SDK for Node.js
Обновлено 2024-10-26 01:07:36 +03:00
Detours is a software package for monitoring and instrumenting API calls on Windows. It is distributed in source code form.
Обновлено 2024-10-10 01:19:47 +03:00
Robust Distributed Programming Made Easy and Efficient
Обновлено 2024-09-21 02:43:11 +03:00
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
Обновлено 2024-09-04 21:49:02 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Обновлено 2024-07-03 13:54:08 +03:00
Distributed AI/HPC Monitoring Framework
Обновлено 2024-06-07 19:24:53 +03:00
CorrelationVector-JavaScript provides a reference JavaScript implementation of the CorrelationVector protocol for tracing and correlation of events through a distributed system.
Обновлено 2024-05-31 00:05:57 +03:00
Robust Distributed System Nucleus (rDSN) is an open framework for quickly building and managing high performance and robust distributed systems.
Обновлено 2024-05-13 13:33:16 +03:00
Algorithms for doing leader election and name resolving with the help of another HA system, serve as anticorruption layers.
Обновлено 2024-01-16 22:51:13 +03:00
Federated Learning Utilities and Tools for Experimentation
Обновлено 2024-01-11 22:20:09 +03:00
Azure Monitor Distro for OpenTelemetry Python
Обновлено 2023-12-28 22:02:27 +03:00
Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the ability to deploy microservices to Kubernetes with minimal configuration.
Обновлено 2023-11-21 00:09:46 +03:00
A Java DAPR workshop showcasing how DAPR's component model can accelerate developers ability to develop and ship distributed applications in Azure Kubernetes Service and Azure Container Apps.
Обновлено 2023-08-25 12:14:20 +03:00
CorrelationVector-Java provides a reference Java implementation of the CorrelationVector protocol for tracing and correlation of events through a distributed system.
Обновлено 2023-07-17 00:34:06 +03:00