2 रिपॉजिटरी
Awesome GitHub RepositoriesMachine Learning Infrastructure Hosting
Deploys centralized servers to manage machine learning pipelines, track metadata, and enable team collaboration.
Distinct from Production Machine Learning: Distinct from Production Machine Learning: focuses on the hosting of the orchestration server itself rather than general production ML tools.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Machine Learning Infrastructure Hosting. Refine with filters or upvote what's useful.
Awesome Machine Learning Infrastructure Hosting GitHub Repositories
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- zenml-io/zenml
zenml-io/zenml
5,451GitHub पर देखेंZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Deploys a centralized server to manage machine learning pipelines, track metadata, and enable team collaboration across production-grade environments.
Pythonagentopsagentsai - huggingface/hub-docs
huggingface/hub-docs
This repository serves as the documentation source for the Hugging Face Hub, a collaborative platform designed for hosting, versioning, and discovering machine learning models, datasets, and interactive applications. It provides the foundational infrastructure for managing machine learning assets through Git-based repositories, which support large file storage, branching, and comprehensive commit history. The platform distinguishes itself by integrating metadata-driven discovery and structured management systems that allow users to attach licensing, task categories, and performance metrics to
Hosts and serves pre-trained machine learning models with standardized metadata, documentation, and browser-based inference widgets.
Handlebarshacktoberfestmachine-learning
