production-machine-learning

There are 10 repositories under production-machine-learning 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
15952
evidentlyai / evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
data-drift data-science hacktoberfest html-report jupyter-notebook machine-learning machine-learning-operations mlops model-monitoring pandas-dataframe production-machine-learning
Language:Jupyter Notebook 4639
SeldonIO / seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
aiops deployment kubernetes machine-learning machine-learning-operations mlops production-machine-learning serving
Language:HTML 4211
Issue-Label-Bot
machine-learning-apps / Issue-Label-Bot
Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"
machine-learning kubernetes deep-learning github-app nlp flask bootstrap tensorflow keras bigquery gharchive machine-learning-tutorials data-science gcp-cloud end-to-end-application github-api-v3 production-machine-learning
Language:SCSS 323
MAIF / eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
python data-validation drift html-report machine-learning data-drift domain-classifier drift-detection model-monitoring production-machine-learning datadrift-classifier model-drift
Language:Jupyter Notebook 203
evidentlyai / ml_observability_course
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
data-drift data-quality data-quality-checks llmops machine-learning-operations ml-monitoring ml-observability ml-pipelines mlops model-monitoring model-performance production-machine-learning
Language:Jupyter Notebook 56
katonic-dev / explainit
A modern, enterprise-ready business intelligence web application
data-visualization drift-detection mlops python data-science machine-learning machine-learning-operations model-monitoring pandas-dataframe production-machine-learning
Language:Python 32
modzy / sdk-python
Python library for Modzy Machine Learning Operations (MLOps) Platform
mlops python deployment drift-detection explainable-ai kuberenetes machine-learning machine-learning-operations microservices model-deployment model-serving production-machine-learning serving docker ai-security api-client
Language:Python 24
modzy / sdk-javascript
The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.
javascript ai-security api-client api-rest drift-detection explainable-ai kubernetes machine-learning machine-learning-operations microservices mlops model-serving production-machine-learning
Language:TypeScript 16
modzy / sdk-java
The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
ai-security api-client docker drift-detection explainable-ai java kubernetes machine-learning machine-learning-operations microservices mlops production-machine-learning
Language:Java 11
modzy / sdk-go
The Golang library for Modzy Machine Learning Operations (MLOps) Platform
ai-security api-client api-client-go docker drift-detection explainable-ai golang kubernetes machine-learning-operations microservices mlops model-serving production-machine-learning serving
Language:Go 3
GrandGarcon / KaggleAwesomeKernels
Sharing my journey to be fluent in writing machine learning models for interesting datasets from competitions from kaggle , AICrowd and other ensemble of deep learning model techniques and then trying to get them to production.
production-machine-learning kaggle aicrowd
Language:Jupyter Notebook 1
prathamsolanki / bank-marketing-production-ml
End to end machine learning models deployment to production for a bank marketing problem.
mlops production-machine-learning vertex-ai
Language:Jupyter Notebook 0
o-s-a-m-a-k-h-a-n / productionml
ProductionML.{org,com} website
machine-learning production-machine-learning production-ai aws gcp python scala
Language:HTML