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21 search results found

🏕️ Reproducible development environment

Mlrun ⭐ 1,177

Machine Learning automation and tracking

Machine Learning Curriculum ⭐ 1,065

💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Mlops V2 ⭐ 393

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

Vertex Ai Mlops ⭐ 344

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Whispercpp ⭐ 269

Pybind11 bindings for Whisper.cpp

Rust Mlops Template ⭐ 196

A work in progress to build out solutions in Rust for MLOPs

Zenbytes ⭐ 169

A simple guide to MLOps through ZenML and its various integrations.

Bentoctl ⭐ 168

Fast model deployment on any cloud 🚀

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Fsdl Text Recognizer 2022 ⭐ 71

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-t

Reproducible Data Science ⭐ 58

Tutorials on creating a reproducible and maintainable data science project

Mlops Templates ⭐ 57

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

Mlops_wspycon2023 ⭐ 31

MLOps Workshop using Weights and Bias (Wandb) and Github Actions.

Loopquest ⭐ 26

A Production Tool for Embodied AI

Vevestax ⭐ 24

2 Lines of code to track ML experiments + EDA + check into Github

Mlops_workshop ⭐ 21

AI book for everyone

Argo Volcano Executor Plugin ⭐ 13

An argo plugin for executing Volcano Job

Media Recommendation Engine ⭐ 6

A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.

Kubernetes Operator Roiergasias ⭐ 5

'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition s

Related Searches

Machine Learning Mlops Workflow (24)

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