production-ml

There are 2 repositories under production-ml topic.

EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome awesome-list data-mining deep-learning explainability interpretability large-scale-machine-learning large-scale-ml machine-learning machine-learning-operations ml-operations ml-ops mlops privacy-preserving privacy-preserving-machine-learning privacy-preserving-ml production-machine-learning production-ml responsible-ai
16150
data-mining-in-action / DMIA_ProductionML_2021_Spring
Репозиторий направления Production ML, весна 2021
ml production production-ml deployment ml-pipeline ci-cd
52
olivierzach / tricentis-lead-scoring
Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning
lead-scoring saas marketing marketing-automation machine-learning deep-learning feature-engineering exploratory-data-analysis marketing-optimization website-optimization data-science production-ml
Language:Python 29
astorfi / Large-Scale-AI-Blueprint
A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.
deep-learning large-language-models large-scale llms machinel-learning large-scale-machine-learning production-ml large-scale-ai
19
zaitera / ML-Service-Production
This project is made to help you scale from a basic Machine Learning project for research purposes to a production grade Machine Learning web service
ml machine-learning production-ml flask nginx celery redis gunicorn web-service
Language:Python 10
AsmaZgo / ComputerVisionDigitsClassification
The objective of this coding exercice is to train a simple neural network on the mnist dataset in order to classify the handwritten digits into numbers ranging from zero to 9.
computer-vision deep-learning machine-learning mlops model-serving production-ml
Language:Jupyter Notebook 2
olivierzach / nopioid
Using machine learning and applied analytics to identify high-residual opioid prescribers
machine-learning healthcare outlier-detection shapely interpretable-machine-learning opioid-crisis production-ml clustering data-science deep-learning
Language:Jupyter Notebook 1