TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget ( Please follow Documentation/SubmittingPatches procedure for any of your improvements.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
ClickHouse® is a real-time analytics database management system
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
There are many ways to contribute, of which development is only one! Find out how to get involved, including as a translator, designer, tester, helping others, and much more! 😍
3 (recovery) :Web: :Download: :Source: :DeepWiki: |deepwiki| :Keywords: task, queue, job, async, rabbitmq, amqp, redis, python, distributed, actors
exo connects all your devices into an AI cluster. Not only does exo enable running models larger than would fit on a single device, but with day-0 support for RDMA over Thunderbolt, makes models run faster as you add more devices.
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.
Lightning Fast and Elegant Scraping Framework for Gophers
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors.
SurrealDB is a multi-model database built in Rust designed to unify multiple data models into a single engine.
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 high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. 3, Kimi-K3 and more.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Redisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API.
You can create a new project using the latest Phoenix source installer (the phx.new Mix task) with the following steps:
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等
Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication, and linearizable reads. It's built from the ground up to perform a rich set of queries.
> 1. 根目录下 cat-client 模块以后不再维护，下个大版本更新计划移除。新版Java客户端参考：lib/java > 2. 管理端、服务端、告警服务均使用 cat-home 模块部署即可
A distributed, fast open-source graph database featuring horizontal scalability and high availability
A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）
This project is for the first edition, which is now outdated (it came out in 2017).
Bit is the build system to connect components and apps from development to CI in the AI era. Bit organizes source code into composable components, empowering to build reliable, scalable and consistent applications.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.