distributed

An Open Source Machine Learning Framework for Everyone

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）

☁️ Nextcloud server, a safe home for all your data

TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.

Redisson - Redis Java client with features of In-Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, local cache ...

Peace of mind from prototype to production

Native GraphQL Database with graph backend

A scalable, distributed, collaborative, document-graph database, for the realtime web

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

A tool for composable software development.

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.

A privacy-aware, distributed, open source social network.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A distributed, fast open-source graph database featuring horizontal scalability and high availability

A distributed transaction framework, supports workflow, saga, tcc, xa, 2-phase message, outbox patterns, supports many languages.

Modin: Scale your Pandas workflows by changing a single line of code

A hyperparameter optimization framework