distributed
23 repositories with 10k+ stars are tagged distributed.
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- 1

An Open Source Machine Learning Framework for Everyone
- 2

ClickHouse® is a real-time analytics database management system
- 3

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
- 4

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
- 6

☁️ Nextcloud server, a safe home for all your data
- 7

A scalable, distributed, collaborative, document-graph database, for the realtime web
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- 9

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
- 10

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
- 11

Redisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..
- 12

Peace of mind from prototype to production
- 13

high-performance graph database for real-time use cases
- 14

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。
- 15

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.
- 16

AI-powered development workspaces with reusable components, architectural clarity and zero overhead.
- 17
microsoft/CNTKArchivedMicrosoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
- 18

A hyperparameter optimization framework
- 19
microsoft/nniArchivedAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- 20

A privacy-aware, distributed, open source social network.
- 21

A distributed, fast open-source graph database featuring horizontal scalability and high availability
- 22

A distributed transaction framework, supports workflow, saga, tcc, xa, 2-phase message, outbox patterns, supports many languages.
- 23

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