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GitHub topics: machine-learning-operations

EthicalML/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Size: 2.36 MB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 18,349 - Forks: 2,330

SeldonIO/seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Language: HTML - Size: 232 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 4,503 - Forks: 836

IFCA-Advanced-Computing/frouros

Frouros: an open-source Python library for drift detection in machine learning systems.

Language: Python - Size: 22.3 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 215 - Forks: 16

openlayer-ai/openlayer-python

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

Language: Python - Size: 21.5 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 10 - Forks: 1

natnew/Awesome-Data-Science

Carefully curated list of awesome data science resources.

Size: 3.44 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 135 - Forks: 20

ksm26/Efficiently-Serving-LLMs

Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 3

JuliaAI/MLJFlow.jl

Connecting MLJ and MLFlow

Language: Julia - Size: 86.9 KB - Last synced at: 11 days ago - Pushed at: 9 months ago - Stars: 11 - Forks: 0

neuro-inc/apolo-extras

Curated set of MLOps tools to work with the Neu.ro MLOps platform

Language: Python - Size: 758 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

katonic-dev/explainit

A modern, enterprise-ready business intelligence web application

Language: Python - Size: 7.31 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 5

patternex/awesome-ml-for-threat-detection

A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.

Size: 46.9 KB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 1

chassisml/chassis

Chassis turns machine learning models into portable container images that can run just about anywhere.

Language: Python - Size: 45.2 MB - Last synced at: 12 days ago - Pushed at: 12 months ago - Stars: 86 - Forks: 10

modzy/sdk-go

The Golang library for Modzy Machine Learning Operations (MLOps) Platform

Language: Go - Size: 13.3 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

modzy/sdk-python

Python library for Modzy Machine Learning Operations (MLOps) Platform

Language: Python - Size: 1.36 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 3

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.

Language: Jupyter Notebook - Size: 25.2 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 56 - Forks: 18

mattborghi/mlops-specialization

Machine Learning Engineering for Production (MLOps) Coursera Specialization

Language: Jupyter Notebook - Size: 103 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 39 - Forks: 26

sebiwtt/Delta

MLOps for online machine learning using Docker and Python

Size: 4.88 KB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

KalyanM45/Heart-Disease-Prediction

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.

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

drazendee/tf2_quickstart_valohai

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.

Language: Python - Size: 1.86 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

alejandrodebus/kueski-challenge

Kueski Challenge - Vacante de Machine Learning Engineer

Language: Jupyter Notebook - Size: 554 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kostaleonard/mlops

A framework for conducting MLOps.

Language: Python - Size: 4.15 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

nurmuhimawann/airline-passenger-satisfaction

Airline Passenger Satisfaction Prediction - MLOps

Language: Jupyter Notebook - Size: 7.23 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

modzy/sdk-javascript

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

Language: TypeScript - Size: 1.6 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

abhisrn1986/TwitterDataPipeline

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 data pipeline flow is as follows: 1.Tweets are collected and stored in a database. 2.The sentiment of the tweets is analyzed. 3.The tweet sentiment is posted on a Slack channel using a Slack bot.

Language: Python - Size: 54.7 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

modzy/sdk-java

The official Java library for the Modzy Machine Learning Operations (MLOps) Platform

Language: Java - Size: 1.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

dpanigra/solutions

Cloud Solutions for machine learning and operation.

Language: Scala - Size: 238 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
machine-learning-operations 25 machine-learning 17 mlops 16 production-machine-learning 8 python 7 docker 7 drift-detection 6 kubernetes 5 data-science 5 explainable-ai 5 model-serving 4 microservices 4 ai-security 4 deep-learning 4 api-client 4 machine-learning-engineering 3 awesome-list 3 serving 3 awesome 2 statistics 2 ai 2 ml 2 model-deployment 2 tensorflow 2 data 2 model-monitoring 2 machine-learning-ops 2 large-scale-machine-learning 2 ml-operations 2 responsible-ai 2 deployment 2 data-drift 2 java 1 airflow 1 valohai 1 machine-learning-tutorial 1 mlops-workflow 1 heart-failure-prediction 1 heart-disease-prediction 1 end-to-end-machine-learning 1 disease-prediction 1 streaming 1 river 1 retail 1 online-ml 1 online-learning 1 neural-networks 1 coursera-specialization 1 coursera 1 model-performance 1 ml-pipelines 1 ml-observability 1 ml-monitoring 1 llmops 1 data-quality-checks 1 data-quality 1 kuberenetes 1 golang 1 vader-sentiment-analysis 1 tweets 1 cloud 1 tweepy-api 1 tweepy 1 kfserving 1 slackbot 1 slack 1 shell-scripting 1 sentiment-analysis 1 replicaset 1 pipeline 1 mongodb 1 docker-image 1 docker-file 1 docker-compose 1 data-pipeline 1 javascript 1 api-rest 1 tensorflow-extended 1 redis 1 pyspark 1 minio 1 kubeflow-pipelines 1 machinelearning 1 fastapi 1 api-client-go 1 model-inference-service 1 model-acceleration 1 large-scale-deployment 1 inference-optimization 1 deep-learning-techniques 1 batch-processing 1 interoperability 1 ml-ops 1 privacy-preserving 1 privacy-preserving-machine-learning 1 unbox 1 privacy-preserving-ml 1 synthetic-dataset-generation 1 openlayer 1 model-explainability 1