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
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
15926
evidentlyai / evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
data-drift jupyter-notebook pandas-dataframe machine-learning model-monitoring html-report production-machine-learning machine-learning-operations mlops data-science hacktoberfest
Language:Jupyter Notebook 4623
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 4207
frouros
IFCA-Advanced-Computing / frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
drift-detection concept-drift machine-learning python statistics data-drift mlops machine-learning-engineering machine-learning-operations dataset-drift dataset-shift mle change-detection distribution-shift
Language:Python 160
chassis
chassisml / chassis
Chassis turns machine learning models into portable container images that can run just about anywhere.
docker kubernetes machine-learning mlops automation ci-cd containers machine-learning-operations microservice python python-library
Language:Python 79
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
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
51
mattborghi / mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization
mlops machine-learning deep-learning neural-networks data-science data coursera-specialization coursera machine-learning-operations
Language:Jupyter Notebook 39
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
openlayer-ai / examples-gallery
Sample notebooks that use the Openlayer Python API
ai data-centric machine-learning machine-learning-operations ml ml-infrastructure mlops model-deployment model-explainability synthetic-dataset-generation tensorflow unbox
Language:Jupyter Notebook 18
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
18
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
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
4
neuro-inc / neuro-extras
Curated set of MLOps tools to work with the Neu.ro MLOps platform
mlops machine-learning-operations 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
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
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
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 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.
valohai tensorflow machine-learning-tutorial machine-learning-operations
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
python docker pyspark mlops redis fastapi minio machine-learning machine-learning-ops airflow machine-learning-engineering machinelearning ml machine-learning-operations
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

evidentlyai / evidently

SeldonIO / seldon-core

IFCA-Advanced-Computing / frouros

chassisml / chassis

evidentlyai / ml_observability_course

natnew / Awesome-Data-Science

mattborghi / mlops-specialization

katonic-dev / explainit

modzy / sdk-python

openlayer-ai / examples-gallery

patternex / awesome-ml-for-threat-detection

modzy / sdk-javascript

modzy / sdk-java

awesome-mlops / awesome-mlops-kubernetes

neuro-inc / neuro-extras

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

kostaleonard / mlops

modzy / sdk-go

sebiwtt / Delta

KalyanM45 / Heart-Disease-Prediction

ksm26 / Efficiently-Serving-LLMs

abhisrn1986 / TwitterDataPipeline

drazendee / tf2_quickstart_valohai

nurmuhimawann / airline-passenger-satisfaction

alejandrodebus / kueski-challenge

dpanigra / solutions