Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: machine-learning-operations

Repositories

SeldonIO/seldon-core

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

Language: HTML - Size: 228 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 4,230 - Forks: 821

evidentlyai/evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Language: Jupyter Notebook - Size: 225 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 4,675 - Forks: 524

EthicalML/awesome-production-machine-learning

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

Size: 2.18 MB - Last synced: 3 days ago - Pushed: 11 days ago - Stars: 16,135 - Forks: 2,150

natnew/Awesome-Data-Science

Carefully curated list of awesome data science resources.

Size: 3.44 MB - Last synced: 4 days ago - Pushed: 8 months ago - Stars: 54 - Forks: 9

modzy/sdk-python

Python library for Modzy Machine Learning Operations (MLOps) Platform

Language: Python - Size: 1.36 MB - Last synced: 1 day ago - Pushed: 8 months ago - Stars: 24 - Forks: 3

IFCA-Advanced-Computing/frouros

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

Language: Python - Size: 22.9 MB - Last synced: 27 days ago - Pushed: 28 days ago - Stars: 158 - Forks: 10

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: 4 days ago - Pushed: 5 months ago - Stars: 56 - Forks: 18

mattborghi/mlops-specialization

Machine Learning Engineering for Production (MLOps) Coursera Specialization

Language: Jupyter Notebook - Size: 103 MB - Last synced: 21 days ago - Pushed: almost 3 years ago - Stars: 39 - Forks: 26

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: 29 days ago - Pushed: 29 days ago - Stars: 1 - Forks: 0

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: 2 days ago - Pushed: over 3 years ago - Stars: 18 - Forks: 2

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: 24 days ago - Pushed: about 1 month ago - Stars: 79 - Forks: 8

openlayer-ai/examples-gallery

Sample notebooks that use the Openlayer Python API

Language: Jupyter Notebook - Size: 17.9 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 18 - 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: 9 days ago - Pushed: 5 months ago - Stars: 2 - Forks: 2

katonic-dev/explainit

A modern, enterprise-ready business intelligence web application

Language: Python - Size: 7.31 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 32 - Forks: 4

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: 4 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

alejandrodebus/kueski-challenge

Kueski Challenge - Vacante de Machine Learning Engineer

Language: Jupyter Notebook - Size: 554 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

kostaleonard/mlops

A framework for conducting MLOps.

Language: Python - Size: 4.15 MB - Last synced: 9 days ago - Pushed: about 2 years ago - Stars: 3 - Forks: 0

nurmuhimawann/airline-passenger-satisfaction

Airline Passenger Satisfaction Prediction - MLOps

Language: Jupyter Notebook - Size: 7.23 MB - Last synced: about 1 year ago - Pushed: about 1 year 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: 12 days ago - Pushed: over 1 year 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: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

Related Keywords

machine-learning-operations 24 machine-learning 16 mlops 15 production-machine-learning 9 docker 6 python 6 drift-detection 6 explainable-ai 5 kubernetes 5 data-science 5 deep-learning 4 ai-security 4 api-client 4 microservices 4 model-serving 4 model-monitoring 3 data-drift 3 awesome-list 3 serving 3 machine-learning-engineering 3 model-deployment 2 data 2 ai 2 responsible-ai 2 tensorflow 2 deployment 2 ml-operations 2 large-scale-machine-learning 2 pandas-dataframe 2 awesome 2 ml 2 retail 1 redis 1 pyspark 1 minio 1 data-visualization 1 machinelearning 1 machine-learning-ops 1 machine-learning-tutorial 1 valohai 1 airflow 1 fastapi 1 mlops-workflow 1 heart-failure-prediction 1 heart-disease-prediction 1 end-to-end-machine-learning 1 disease-prediction 1 unbox 1 synthetic-dataset-generation 1 model-explainability 1 ml-infrastructure 1 data-centric 1 python-library 1 microservice 1 containers 1 kubeflow-pipelines 1 kfserving 1 cloud 1 neuro 1 java 1 golang 1 api-client-go 1 vader-sentiment-analysis 1 tweets 1 tweepy-api 1 tweepy 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 ci-cd 1 llmops 1 data-quality-checks 1 data-quality 1 statistics 1 mle 1 distribution-shift 1 dataset-shift 1 dataset-drift 1 concept-drift 1 change-detection 1 kuberenetes 1 interoperability 1 production-ml 1 privacy-preserving-ml 1 privacy-preserving-machine-learning 1 privacy-preserving 1 ml-ops 1 large-scale-ml 1 interpretability 1