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mosaicml/streaming

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1,521 स्टार्स·199 फोर्क्स·Python·Apache-2.0·6 व्यूज़streaming.docs.mosaicml.com↗

Streaming

A Data Streaming Library for Efficient Neural Network Training

Features

  • Stream Processing - Streams large datasets for distributed model training.
  • Computation and Optimization - Data streaming library for efficient neural network training.

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mosaicml/streaming के लिए स्टार हिस्ट्री चार्टmosaicml/streaming के लिए स्टार हिस्ट्री चार्ट

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Streaming के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Streaming के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • airtai/faststreamairtai का अवतार

    airtai/faststream

    5,234GitHub पर देखें↗

    FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int

    Python
    GitHub पर देखें↗5,234
  • aklivity/zillaaklivity का अवतार

    aklivity/zilla

    690GitHub पर देखें↗

    🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.

    Java
    GitHub पर देखें↗690
  • apache/beamapache का अवतार

    apache/beam

    8,612GitHub पर देखें↗

    Apache Beam is a distributed data pipeline framework and unified data processing model designed to handle both bounded batch data and unbounded real-time streams. It provides a system for building scalable, data-parallel workflows that operate across compute clusters using a single programming model. The framework utilizes a cross-runner pipeline abstraction that decouples the data processing logic from the underlying execution backend, allowing the same pipeline to run on different distributed compute engines. It supports multi-language pipeline development by translating high-level code fro

    Java
    GitHub पर देखें↗8,612
  • adapter-hub/adaptersadapter-hub का अवतार

    adapter-hub/adapters

    2,815GitHub पर देखें↗

    A Unified Library for Parameter-Efficient and Modular Transfer Learning

    Python
    GitHub पर देखें↗2,815
Streaming के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

mosaicml/streaming क्या करता है?

A Data Streaming Library for Efficient Neural Network Training

mosaicml/streaming की मुख्य विशेषताएं क्या हैं?

mosaicml/streaming की मुख्य विशेषताएं हैं: Stream Processing, Computation and Optimization।

mosaicml/streaming के कुछ ओपन-सोर्स विकल्प क्या हैं?

mosaicml/streaming के ओपन-सोर्स विकल्पों में शामिल हैं: airtai/faststream — FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified… aklivity/zilla — 🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka®… apache/beam — Apache Beam is a distributed data pipeline framework and unified data processing model designed to handle both bounded… apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… apache/kafka — Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams… adapter-hub/adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning.