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3 dépôts

Awesome GitHub RepositoriesPredictive Model Workflows

Distributed workflows for creating and scaling predictive analytics models.

Distinct from Scalability Management: Focuses on the model development workflow rather than general infrastructure resource allocation

Explore 3 awesome GitHub repositories matching devops & infrastructure · Predictive Model Workflows. Refine with filters or upvote what's useful.

Awesome Predictive Model Workflows GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • apache/sparkAvatar de apache

    apache/spark

    43,467Voir sur GitHub↗

    Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

    Implements scalable algorithms and workflows to build predictive analytics models on massive datasets.

    Scalabig-datajavajdbc
    Voir sur GitHub↗43,467
  • mindsdb/minds-platformAvatar de mindsdb

    mindsdb/minds-platform

    39,316Voir sur GitHub↗

    Minds Platform is an automation system and application platform designed for building and deploying custom AI tools and workflows. It functions as a machine learning integration layer and self-hosted orchestrator that connects predictive models and large language models to external data sources. The platform enables the execution of multi-step tasks that read and write data to automate reports and operational activities. It supports deployment across cloud, on-premises, and virtual private cloud environments to maintain control over models and data. Capabilities include event-driven workflow

    Connects machine learning models directly to data sources to automate analytics and create data-driven workflows.

    Makefile
    Voir sur GitHub↗39,316
  • priorlabs/tabpfnAvatar de PriorLabs

    PriorLabs/TabPFN

    7,408Voir sur GitHub↗

    Routes prediction results to downstream automation nodes for CRM updates or alerting.

    Pythondata-sciencefoundation-modelsmachine-learning
    Voir sur GitHub↗7,408
  1. Home
  2. DevOps & Infrastructure
  3. Scalability Management
  4. Predictive Model Workflows

Explorer les sous-tags

  • Data-Driven Predictive Workflows1 sous-tagAutomated sequences that integrate predictive models directly with live data sources for real-time analytics. **Distinct from Predictive Model Workflows:** Focuses on the direct connection of models to data sources for automation, rather than the distributed scaling of model training.