ml-ops

A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)

infrastructure security devops monitoring incident-response site-reliability-engineering post-mortem reliability alerting on-call software-engineering dev-ops sre hacktoberfest observability incident-management chaos-engineering ml-ops hacktoberfest-accepted sre-culture

UpdatedFeb 22, 2025
JavaScript

SE-ML /awesome-seml

Star1.3k

A curated list of articles that cover the software engineering best practices for building machine learning applications.

machine-learning awesome deep-learning software-engineering awesome-list ml-ops

UpdatedMar 26, 2024

sematic-ai /sematic

Star994

An open-source ML pipeline development platform

python data-science machine-learning ai pipeline ml python3 mlops ml-pipeline ml-ops ml-pipelines

UpdatedJan 9, 2025
Python

vortico /flama

Star277

Fire up your models with the flame 🔥

api components machine-learning crud schema rest dependency-injection restful swagger openapi marshmallow type-system apispec starlette ml-ops starlette-api

UpdatedJun 25, 2025
Python

machine-learning-apps /actions-ml-cicd

Star209

A Collection of GitHub Actions That Facilitate MLOps

kubernetes devops data-science machine-learning argo ml-infrastructure machine-learning-platform mlops ml-ops

UpdatedNov 21, 2022
Jupyter Notebook

laminlabs /lamindb

Star177

A data framework for biology.

orm lims data-lineage ml-ops data-lakehouse comp-bio-ops

UpdatedJul 18, 2025
Python

Azure-Samples /azure-databricks-mlops-mlflow

Star91

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

python azure ml databricks databricks-notebooks ml-production mlops mlflow ml-ops ml-operations mlflow-projects ml-monitoring

UpdatedMar 21, 2025
Jupyter Notebook

MatsMoll /aligned

Star60

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

ai ml data-lake dbt feature-engineering mlops feature-store ml-ops data-contracts datacontracts

UpdatedJul 11, 2025
Python

jgvaraujo /ml-deployment-on-gcloud

Star31

A pipeline to CI/CD of a machine learning model on Google Cloud Run

python dockerfile deployment pipeline continuous-integration continuous-deployment google-cloud flask-application pickle cicd cloud-deployment cloud-application cloud-build machine-learning-deploy ml-ops cloud-run

UpdatedMay 1, 2023
Python

NucleusEngineering /hack-your-pipe

Star28

Efficient streaming data ingestion, transformation & activation

pubsub data-engineering dataflow apache-beam google-cloud-platform streaming-data data-ops ml-ops cloud-run vertex-ai

UpdatedMay 1, 2023
Python

guidelabs /infembed

Star28

Find the samples, in the test data, on which your (generative) model makes mistakes.

auditing ml generative-models classification-model error-detection interpretable-ai ml-ops llm slice-discovery

UpdatedOct 16, 2024
Python

chalk-ai /examples

Star21

Curated examples and patterns for using Chalk. Use these to build your feature pipelines.

python data-science data pipeline ml chalk ml-ops

UpdatedJul 10, 2025
Python

gagan-iitb /ComputerSysDesign

Star21

Designing IT and ML Applications using Systems Thinking Approach at IIT Bhilai (CS559)

design fault-tolerance scalability systems rate-limiter system-design ml-ops system-design-interview ml-systems

UpdatedMay 5, 2024

gasparian /ml-serving-template

Star15

Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]

redis machine-learning rabbitmq clustering pubsub rpc falcon redis-client rabbitmq-client fasttext rabbitmq-python pika ml-production semantic-clustering bjoern ml-ops ml-serving ml-web-app ml-deployment

UpdatedJul 20, 2021
Python

ziss11 /heart-failure-detection

Star11

Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring

python ml-pipeline ml-ops

UpdatedNov 12, 2022
Python

lfunderburk /fuel-electric-hybrid-vehicle-ml

Star9

Vehicle data classification (supervised, unsupervised learning)

data-pipeline ml-ops ml-engineering consumer-insights sustainability-analysis

UpdatedMay 23, 2023
Jupyter Notebook

aws-samples /amazon-sagemaker-pipeline-deploy-manage-100x-models-python-cdk

Star9

This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.

aws machine-learning pipeline sagemaker mlops sagemaker-deployment ml-ops sagemaker-endpoint

UpdatedJul 14, 2025
Python

AdamPaternostro /Azure-Big-Data-and-Machine-Learning-Architecture

Star8

A ready to use architecture for processing data and performing machine learning in Azure

big-data azure azure-data-lake azure-data-factory ml-ops

UpdatedJun 24, 2020
C#

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