”mlops-environment“ 的搜索结果

Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.

#计算机科学#MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates t...

Small environment for MLOPS project

#大语言模型#A tool to provision MLOps environments in Azure

#计算机科学#The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spa...

#计算机科学#Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

#计算机科学#Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

#计算机科学#The collaboration workspace for Machine Learning

#计算机科学#Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Receipes of publicly-available Jupyter images

MLOps examples

#计算机科学#Free MLOps course from DataTalks.Club

mlops template

MCW MLOps

#计算机科学#CDF SIG MLOps

#计算机科学#Azure MLOps

#计算机科学#A curated list of references for MLOps

#计算机科学#open-source MLOps platform

#大语言模型#an MLOps/LLMOps platform

#学习与技能提升#[Book-2021] Practical MLOps O'Reilly Book

#计算机科学#😎 A curated list of awesome MLOps tools

#计算机科学#Machine Learning In Production (MLOps)

#计算机科学#MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

MLOps using Azure ML Services and Azure DevOps

#计算机科学#🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

Provides functionality that helps writing PHP code that has runtime-specific execution paths

A collection of resources to learn about MLOPs.

End to End MLOps

#计算机科学#A Collection of GitHub Actions That Facilitate MLOps