machine-learning-operations

There are 6 repositories under machine-learning-operations 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
17621
SeldonIO / seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
kubernetes machine-learning deployment serving mlops aiops machine-learning-operations production-machine-learning
Language:HTML 4387
frouros
IFCA-Advanced-Computing / frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
change-detection concept-drift covariate-shift data-drift dataset-drift dataset-shift distribution-shift drift-detection machine-learning machine-learning-engineering machine-learning-operations mle mlops python statistics
Language:Python 194
natnew / Awesome-Data-Science
Carefully curated list of awesome data science resources.
awesome ai data data-science machine-learning interoperability awesome-list deep-learning explainable-ai machine-learning-operations ml-operations responsible-ai large-scale-machine-learning
107
chassis
chassisml / chassis
Chassis turns machine learning models into portable container images that can run just about anywhere.
automation ci-cd containers docker kubernetes machine-learning machine-learning-operations microservice mlops python python-library
Language:Python 84
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 70
mattborghi / mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization
coursera coursera-specialization data data-science deep-learning machine-learning machine-learning-operations mlops neural-networks
Language:Jupyter Notebook 44
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
patternex / awesome-ml-for-threat-detection
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
threat-detection machine-learning papers machine-learning-systems cybersecurity awesome-list machine-learning-operations applied-machine-learning
19
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
awesome-mlops / awesome-mlops-kubernetes
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 🚀
deep-learning kubernetes machine-learning ml mlops operator dataops machine-learning-operations machine-learning-pipelines machine-learning-projects machine-learning-training machine-learning-workflow ml-pipeline ml-workbench model-management model-monitoring model-training orchestration workflow
14
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
JuliaAI / MLJFlow.jl
Connecting MLJ and MLFlow
data-science julia machine-learning machine-learning-operations machine-learning-ops mlflow mlj mlops statistics
Language:Julia 9
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.
batch-processing deep-learning-techniques inference-optimization machine-learning-operations model-acceleration model-inference-service model-serving optimization-techniques performance-enhancement scalability-strategies server-optimization text-generation large-scale-deployment serving-infrastructure
Language:Jupyter Notebook 9
openlayer-ai / openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
ai data-centric machine-learning machine-learning-operations ml ml-infrastructure mlops model-deployment model-explainability openlayer synthetic-dataset-generation tensorflow unbox
Language:Python 7
demml / opsml
Next generation of machine learning artifact management and observability
artifact-registry data-science deep-learning framework generative-ai machine-learning machine-learning-library ml mlops model-deployment production python type-checking machine-learning-operations governance monitoring observability
Language:Python 6
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 4
neuro-inc / neuro-extras
Curated set of MLOps tools to work with the Neu.ro MLOps platform
machine-learning-operations mlops neuro
Language:Python 4
Hassi34 / COVID-19-chest-X-ray-image-classification
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
ai aiops cicd circleci cloud-computing data-science dvc-pipeline experiments-tracking gcp industry-standard-practices machine-learning machine-learning-operations machinelearning mlflow mlflow-tracking-server mlops dagshub fastapi tensorflow
Language:Python 3
kostaleonard / mlops
A framework for conducting MLOps.
deep-learning machine-learning machine-learning-operations
Language:Python 3
sebiwtt / Delta
MLOps for online machine learning using Docker and Python
online-ml machine-learning river docker machine-learning-operations mlops online-learning python streaming
3
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.
disease-prediction end-to-end-machine-learning heart-disease-prediction heart-failure-prediction machine-learning-operations mlops-workflow
Language:Jupyter Notebook 2
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.
data-pipeline data-science docker docker-compose machine-learning-engineering machine-learning-operations mongodb pipeline python replicaset sentiment-analysis slack slackbot tweepy tweepy-api tweets vader-sentiment-analysis docker-file docker-image shell-scripting
Language:Python 1
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.
machine-learning-operations machine-learning-tutorial tensorflow valohai
Language:Python 1
nurmuhimawann / airline-passenger-satisfaction
🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"
machine-learning-operations tensorflow-extended
Language:Jupyter Notebook 1
alejandrodebus / kueski-challenge
Kueski Challenge - Vacante de Machine Learning Engineer
airflow docker fastapi machine-learning machine-learning-engineering machine-learning-operations machine-learning-ops machinelearning minio ml mlops pyspark python redis
Language:Jupyter Notebook
dpanigra / solutions
Cloud Solutions for machine learning and operation.
cloud machine-learning machine-learning-operations retail kfserving kubeflow-pipelines
Language:Scala

machine-learning-operations

EthicalML / awesome-production-machine-learning

SeldonIO / seldon-core

IFCA-Advanced-Computing / frouros

natnew / Awesome-Data-Science

chassisml / chassis

evidentlyai / ml_observability_course

mattborghi / mlops-specialization

katonic-dev / explainit

modzy / sdk-python

patternex / awesome-ml-for-threat-detection

modzy / sdk-javascript

awesome-mlops / awesome-mlops-kubernetes

modzy / sdk-java

JuliaAI / MLJFlow.jl

ksm26 / Efficiently-Serving-LLMs

openlayer-ai / openlayer-python

demml / opsml

modzy / sdk-go

neuro-inc / neuro-extras

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

kostaleonard / mlops

sebiwtt / Delta

KalyanM45 / Heart-Disease-Prediction

abhisrn1986 / TwitterDataPipeline

drazendee / tf2_quickstart_valohai

nurmuhimawann / airline-passenger-satisfaction

alejandrodebus / kueski-challenge

dpanigra / solutions