machine-learning-operations

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

kubernetes workflow machine-learning deep-learning ml orchestration dataops operator machine-learning-pipelines model-management model-training machine-learning-workflow machine-learning-projects machine-learning-training mlops ml-pipeline model-monitoring machine-learning-operations ml-workbench

Updated Apr 20, 2022

abhisrn1986 / TwitterDataPipeline

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The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time d…

Updated Jun 10, 2022
Python

modzy / sdk-javascript

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The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.

javascript kubernetes machine-learning microservices api-client api-rest model-serving explainable-ai production-machine-learning ai-security mlops drift-detection machine-learning-operations

Updated Sep 22, 2022
TypeScript

katonic-dev / explainit

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A modern, enterprise-ready business intelligence web application

python data-science machine-learning pandas-dataframe data-visualization production-machine-learning mlops drift-detection model-monitoring machine-learning-operations

Updated Dec 9, 2022
Python

drazendee / tf2_quickstart_valohai

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In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your models.

tensorflow valohai machine-learning-tutorial machine-learning-operations

Updated Mar 24, 2023
Python

Hassi34 / COVID-19-chest-X-ray-image-classification

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This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray

data-science machine-learning circleci ai tensorflow gcp cloud-computing machinelearning cicd aiops mlops mlflow mlflow-tracking-server fastapi machine-learning-operations industry-standard-practices experiments-tracking dvc-pipeline dagshub

Updated Mar 31, 2023
Python

nurmuhimawann / airline-passenger-satisfaction

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🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"

machine-learning-operations tensorflow-extended

Updated Apr 26, 2023
Jupyter Notebook

natnew / Awesome-Data-Science

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Carefully curated list of awesome data science resources.

data-science data machine-learning awesome ai deep-learning interoperability awesome-list explainable-ai responsible-ai machine-learning-operations ml-operations large-scale-machine-learning

Updated Sep 5, 2023

modzy / sdk-python

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Python library for Modzy Machine Learning Operations (MLOps) Platform

python docker machine-learning microservices deployment api-client model-deployment model-serving serving explainable-ai production-machine-learning ai-security mlops kuberenetes drift-detection machine-learning-operations

Updated Sep 8, 2023
Python

KalyanM45 / Heart-Disease-Prediction

Sponsor

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Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.

end-to-end-machine-learning disease-prediction machine-learning-operations heart-disease-prediction heart-failure-prediction mlops-workflow