ml-ops

There are 10 repositories under ml-ops topic.

EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
machine-learning mlops interpretability explainability responsible-ai deep-learning machine-learning-operations ml-ops ml-operations privacy-preserving privacy-preserving-ml privacy-preserving-machine-learning data-mining large-scale-ml production-ml large-scale-machine-learning production-machine-learning awesome awesome-list
15950
PrefectHQ / prefect
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
python workflow data-engineering data-science workflow-engine prefect infrastructure ml-ops data-ops automation orchestration data observability pipeline
Language:Python 14617
SE-ML / awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
awesome awesome-list software-engineering machine-learning deep-learning ml-ops
1194
sematic
sematic-ai / sematic
An open-source ML pipeline development platform
ai data-science machine-learning ml ml-ops ml-pipeline ml-pipelines mlops pipeline python python3
Language:Python 941
flama
vortico / flama
Fire up your models with the flame 🔥
starlette dependency-injection api type-system openapi swagger components marshmallow apispec crud starlette-api schema rest restful machine-learning ml-ops
Language:Python 254
machine-learning-apps / actions-ml-cicd
A Collection of GitHub Actions That Facilitate MLOps
machine-learning ml-ops data-science devops ml-infrastructure mlops argo kubernetes machine-learning-platform
Language:Jupyter Notebook 203
Azure-Samples / azure-databricks-mlops-mlflow
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
azure databricks databricks-notebooks mlflow mlflow-projects mlops ml ml-production ml-monitoring ml-ops ml-operations python
Language:Jupyter Notebook 76
MatsMoll / aligned
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
ai feature-engineering feature-store ml mlops dbt data-contracts datacontracts ml-ops
Language:Python 44
jgvaraujo / ml-deployment-on-gcloud
A pipeline to CI/CD of a machine learning model on Google Cloud Run
google-cloud flask-application dockerfile python pipeline cloud-application ml-ops machine-learning-deploy deployment cloud-deployment cloud-run cloud-build pickle cicd continuous-integration continuous-deployment
Language:Python 31
NucleusEngineering / hack-your-pipe
Efficient streaming data ingestion, transformation & activation
cloud-run dataflow pubsub vertex-ai data-engineering streaming-data data-ops ml-ops apache-beam google-cloud-platform
Language:Python 26
guidelabs / infembed
Find the samples, in the test data, on which your (generative) model makes mistakes.
auditing classification-model generative-models llm ml ml-ops error-detection slice-discovery interpretable-ai
Language:Python 23
gagan-iitb / ComputerSysDesign
Designing IT and ML Applications using Systems Thinking Approach at IIT Bhilai (CS559)
design fault-tolerance scalability systems rate-limiter system-design system-design-interview ml-ops ml-systems
18
gasparian / ml-serving-template
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
fasttext semantic-clustering clustering falcon bjoern rabbitmq redis pubsub machine-learning ml-ops ml-serving ml-production ml-deployment ml-web-app redis-client rabbitmq-client rabbitmq-python pika rpc
Language:Python 15
ziss11 / heart-failure-detection
Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring
ml-pipeline python ml-ops
Language:Python 10
lfunderburk / fuel-electric-hybrid-vehicle-ml
Vehicle data classification (supervised, unsupervised learning)
consumer-insights data-pipeline ml-engineering ml-ops sustainability-analysis
Language:Jupyter Notebook 9
AdamPaternostro / Azure-Big-Data-and-Machine-Learning-Architecture
A ready to use architecture for processing data and performing machine learning in Azure
azure big-data azure-data-lake azure-data-factory ml-ops
Language:C# 8
chalk-ai / examples
Curated examples and patterns for using Chalk. Use these to build your feature pipelines.
ml chalk data data-science ml-ops pipeline python
Language:Python 5
marwan116 / supreme-task
A prefect extension that builds on top of the task decorator to reduce negative engineering!
data-ops data-science infrastructure ml-ops orchestration prefect python workflow
Language:Python 5
spoke-data / spoke
The universal data connector
db2 duckdb duckdb-engine etl etl-framework etl-pipeline kafka mariadb mssql mysql odbc oracle postgres streaming data-engineering ml-ops sql zig ai
Language:Svelte 5
whylabs / whylogs_action
Repo for running Whylogs as part of a CI workflow using github actions.
ml-ops github-actions logging
Language:Python 5
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.
aws machine-learning ml-ops mlops pipeline sagemaker sagemaker-deployment sagemaker-endpoint
Language:Python 3
kayvane1 / wandb-course
Demo usage of Weights & Biases for ML Ops
ml-ops wandb weights-and-biases
Language:Python 3
Quantyca / content-qshare
Raccogliamo qui tutti i link alle risorse menzionate durante i nostri QShare
data-engineering data-science machine-learning deep-learning artificial-intelligence data-governance data-ops ml-ops dev-ops data-visualisation software-engineering
3
Ideas2IT / datascience-lab
Data Science Experiments Repository of Ideas2IT
machine-learning sagemaker aws-sagemaker mlops ml-ops xgboost xgboost-model pandas python jupyter-notebook
Language:Jupyter Notebook 2
jasmeetsb / airflow_ml_ops
Sample Airflow ML Pipelines
airflow ml-ops machine-learning tensorflow xgboost ml-pipeline cloud-composer
Language:Jupyter Notebook 2
ml-starter-packs / microservice-workshop
interactive coding environment for microservices demo
mlops ml-ops flask wsgi mlops-environment mlops-workflow gunicorn-with-flask-rest-api
Language:Dockerfile 2
theNewFlesh / flatiron
A library of computer vision models and a streamlined framework for training them.
unet cnn computer-vision convolutional-neural-network data-science deep-learning machine-learning ml-ops tensorflow tensorflow2
Language:Python 2
ameron-ai / model-serving-sidecar-service-example
A simple Python example of a Model Service that can be fronted by the Model Sidecar
machine-learning artificial-intelligence ml-ops
Language:Python 1
hirokyammt / practical-data-science
auto-ml human-in-the-loop aws bert text-classification ml-ops
Language:Jupyter Notebook 1
mariagrandury / is-your-ml-model-trustworthy
Slides of my talk "Is Your ML Model Trustworthy?" at the MLOps World Conference on the 16th of June 2021.
mlops xai robustness explainable-ai ml-ops
1
rafka-imandaputra / ORBIT-TSDN-2022
ORBIT SMKN 4 Bandung team repository for Turnamen Sains Data Nasional 2022 coordinated by Cybertrend Data Academy and Asosiasi Data Sains dan AI Indonesia with supported by several government agencies and universities in Indonesia.
analytics artificial-intelligence computer-vision data-science descriptive-analytics machine-learning ml-ops web-apps
Language:Jupyter Notebook 1
vortico / flama-demos
Examples showcasing Flama 🔥
api demos flama machine-learning ml-ops rest-api
Language:Python 1
a-ngo / ml-ops
These are my personal notes regarding Machine Learning DevOps stuff
cicd deployment fastapi ml-flow ml-ops model-scoring monitoring pipeline
Language:Jupyter Notebook 0
haddagart / awesome-ml-bookmarks
A list of interesting bookmarks, blogs, channels, papers, and anything that can be considered as a day to day reference for an AI, DS, ML, or DL practioner. [WIP]
artificial-intelligence cnn computer-vision data-science deep-learning keras lstm machine-learning python rnn ml-ops pytorch tensorflow
nikofebrianur / Bank-Customer-Churn-Prediction
This machine learning pipeline project aims to develop an ML model to identify bank customer churn.
machine-learning ml-ops ml-pipeline
Language:Jupyter Notebook
nikofebrianur / French-Twitter-Sentiment-Analysis
This machine learning pipeline project aims to develop an ML model to identify customer sentiment from French-language tweets on social media.
machine-learning ml-pipeline tensorflow ml-ops
Language:Jupyter Notebook

ml-ops

EthicalML / awesome-production-machine-learning

PrefectHQ / prefect

SE-ML / awesome-seml

sematic-ai / sematic

vortico / flama

machine-learning-apps / actions-ml-cicd

Azure-Samples / azure-databricks-mlops-mlflow

MatsMoll / aligned

jgvaraujo / ml-deployment-on-gcloud

NucleusEngineering / hack-your-pipe

guidelabs / infembed

gagan-iitb / ComputerSysDesign

gasparian / ml-serving-template

ziss11 / heart-failure-detection

lfunderburk / fuel-electric-hybrid-vehicle-ml

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

chalk-ai / examples

marwan116 / supreme-task

spoke-data / spoke

whylabs / whylogs_action

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

kayvane1 / wandb-course

Quantyca / content-qshare

Ideas2IT / datascience-lab

jasmeetsb / airflow_ml_ops

ml-starter-packs / microservice-workshop

theNewFlesh / flatiron

ameron-ai / model-serving-sidecar-service-example

hirokyammt / practical-data-science

mariagrandury / is-your-ml-model-trustworthy

rafka-imandaputra / ORBIT-TSDN-2022

vortico / flama-demos

a-ngo / ml-ops

haddagart / awesome-ml-bookmarks

nikofebrianur / Bank-Customer-Churn-Prediction

nikofebrianur / French-Twitter-Sentiment-Analysis