Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
47,133 repositories indexed
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Cross-platform, customizable ML solutions for live and streaming media.
Node-based Visual Programming Toolbox
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
Ncurses based XMPP client
HiveMQ CE is a Java-based open source MQTT broker that fully supports MQTT 3.x and MQTT 5. It is the foundation of the HiveMQ Enterprise Connectivity and Messaging Platform
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Lua kafka client driver for the Openresty based on the cosocket API
Task management system based on .NET 8 with Microservices, DDD, CQRS, Event Sourcing and Testing Concepts
:surfer: Traceable, extendable and minimalist **event bus** implementation for Elixir with built-in **event store** and **event watcher** based on ETS.
An observable microservice bus library for .NET, that wraps the underlying message transports in simple Rx based interfaces.
TranslatedModern Reactive CQRS Architecture Microservice development framework based on DDD and EventSourcing
A fast to develop, fast to run, Go based toolkit for ETL and feature extraction on Hadoop.
Flow-based Application Layer Framework
Scalable Full History API Solution for Antelope (former EOSIO) based blockchains
Kotlin coroutine based library for RabbitMQ
A secure and high performances microkernel for building secure MCU-based IoTs
Multi-core Window-Based Stream Processing Engine
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Lightweight SQL-based stream processing engine for IoT edge.
Window-Based Hybrid CPU/GPU Stream Processing Engine
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.
Apache Kafka Ada client library, based off of librdkafka
Common Lisp RabbitMQ client based on IOLib