mlops-workflow
There are 260 repositories under mlops-workflow topic.
tensorchord/envd
🏕️ Reproducible development environment
mlrun/mlrun
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 the delivery of production data, ML pipelines, and online applications.
offchan42/machine-learning-curriculum
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
statmike/vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
Azure/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
nogibjj/rust-mlops-template
A work in progress to build out solutions in Rust for MLOPs
aarnphm/whispercpp
Pybind11 bindings for Whisper.cpp
mlops-guide/mlops-guide.github.io
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
zenml-io/zenbytes
A simple guide to MLOps through ZenML and its various integrations.
bentoml/bentoctl
Fast model deployment on any cloud 🚀
khuyentran1401/reproducible-data-science
Tutorials on creating a reproducible and maintainable data science project
MG-Microsoft/MLOps_Workshop
Azure MLOps
Azure/mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
NimbleBoxAI/nbox
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
the-full-stack/fsdl-text-recognizer-2022
Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
Azure/mlops-project-template
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
mlops-guide/dvc-gitactions
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
darkanita/MLOps_wsPycon2023
MLOps Workshop using Weights and Bias (Wandb) and Github Actions.
KalyanM45/OpenHealth
This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.
aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance
kingabzpro/CICD-for-Machine-Learning
A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
LoopMind-AI/loopquest
A Production Tool for Embodied AI
Vevesta/VevestaX
2 Lines of code to track ML experiments + EDA + check into Github
YeonwooSung/ai_book
AI book for everyone
mlops-guide/mlops-template
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
Harly-1506/MLOps-Recommendation
End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.
iflytek/argo-volcano-executor-plugin
An argo plugin for executing Volcano Job
astronomer/astro-provider-ray
This provider contains operators, decorators and triggers to send a ray job from an airflow task
andreaschandra/practical-mlops-book-extended
Practical MLOps O'Reilly Book - Personal Extended Version
Jithsaavvy/Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline
The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.
Nneji123/Media-Recommendation-Engine
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.
IBM/MLOps
Visit the MLOps Guide:
Toyota-Connected-India/zokyo
Zokyo is a MLOps friendly image augmentation library written in python built with modularity and extensibility in mind. Specifically crafted for automotive deep learning development.
Jamil226/SP25-AI
Spring 25 - Artificial Intelligence
nsakki55/prefect-ml-workflow
Example of how to build machine learning training workflow on AWS by Prefect