ml-ops
There are 58 repositories under ml-ops topic.
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
upgundecha/howtheysre
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
SE-ML/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
sematic-ai/sematic
An open-source ML pipeline development platform
vortico/flama
Fire up your models with the flame 🔥
machine-learning-apps/actions-ml-cicd
A Collection of GitHub Actions That Facilitate MLOps
laminlabs/lamindb
A data framework for biology.
Azure-Samples/azure-databricks-mlops-mlflow
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
MatsMoll/aligned
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
jgvaraujo/ml-deployment-on-gcloud
A pipeline to CI/CD of a machine learning model on Google Cloud Run
guidelabs/infembed
Find the samples, in the test data, on which your (generative) model makes mistakes.
NucleusEngineering/hack-your-pipe
Efficient streaming data ingestion, transformation & activation
chalk-ai/examples
Curated examples and patterns for using Chalk. Use these to build your feature pipelines.
gagan-iitb/ComputerSysDesign
Designing IT and ML Applications using Systems Thinking Approach at IIT Bhilai (CS559)
gasparian/ml-serving-template
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
ziss11/heart-failure-detection
Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring
aws-samples/amazon-sagemaker-pipeline-deploy-manage-100x-models-python-cdk
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.
lfunderburk/fuel-electric-hybrid-vehicle-ml
Vehicle data classification (supervised, unsupervised learning)
AdamPaternostro/Azure-Big-Data-and-Machine-Learning-Architecture
A ready to use architecture for processing data and performing machine learning in Azure
spoke-data/spoke
The universal data connector
marwan116/supreme-task
A prefect extension that builds on top of the task decorator to reduce negative engineering!
whylabs/whylogs_action
Repo for running Whylogs as part of a CI workflow using github actions.
kayvane1/wandb-course
Demo usage of Weights & Biases for ML Ops
jasmeetsb/airflow_ml_ops
Sample Airflow ML Pipelines
Quantyca/content-qshare
Raccogliamo qui tutti i link alle risorse menzionate durante i nostri QShare
TechWithTy/kling
Kling AI Python SDK - Production-ready, type-safe Python client for Kling AI's cutting-edge video generation and media processing APIs. Supports async/await, Pydantic models, and comprehensive error h
chenjoshua7/chen_musicbox
NLP web app for genre classification using a DistilBERT model. Developed and containerized with Docker, deployed on Azure for scalable real-time predictions. Includes automated data logging to Azure Blob Storage for seamless model evaluation, feedback, and retraining. Fully production-ready with robust MLOps integration.
Ideas2IT/datascience-lab
Data Science Experiments Repository of Ideas2IT
ml-starter-packs/microservice-workshop
interactive coding environment for microservices demo
theNewFlesh/flatiron
Standardized computer vision pipeline framework with a chainable API and procedurally defined model architecture
vortico/flama-demos
Examples showcasing Flama 🔥
wahidpanda/End-to-End_MLOPS_GitHub_workflows_with_DockerHub
Create an End-to-End MLops project with GitHub action workflow and DockerHub integration.
lazarzivanovicc/weatherly
Weatherly is an application developed as a part of the Master's course "Automation of Software Development" at the University of Belgrade, Faculty of Organizational Sciences.
MGTheTrain/ml-ops-poc
Repository showcasing ML Ops practices with kubeflow and mlflow
zsxkib/cog-template
Template for Cog models with built-in model weights caching and CDN integration