Media-Recommendation-Engine VS mlrun

Compare Media-Recommendation-Engine vs mlrun and see what are their differences.

Media-Recommendation-Engine

A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance. (by Nneji123)
API Application Docker docker-compose Fastapi Frontend Machine Learning Mlops mlops-workflow Pandas Python recommendation-engine Streamlit
Source Code
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mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications. (by mlrun)
Mlops Python Data Science Machine Learning data-engineering experiment-tracking model-serving mlops-workflow Workflow Kubernetes
Source Code
mlrun.org
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Media-Recommendation-Engine mlrun
1 3
12 1,287
- 5.5%
0.0 9.9
about 1 year ago 2 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Media-Recommendation-Engine

Posts with mentions or reviews of Media-Recommendation-Engine. We have used some of these posts to build our list of alternatives and similar projects.

mlrun

Posts with mentions or reviews of mlrun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.

What are some alternatives?

When comparing Media-Recommendation-Engine and mlrun you can also consider the following projects:

mnist-mlops-learning - In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

feast - Feature Store for Machine Learning

reco-model-monitoring - fastapi + prometheus + grafana ๐Ÿ’ฃ

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

api-gateway - ๐Ÿšช Kong API Gateway

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Jokes_api - JokesAPI is a REST API that serves two part jokes.

SmartSim - SmartSim Infrastructure Library.

energy-forecasting - ๐ŸŒ€ ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐Ÿณ-๐—ฆ๐˜๐—ฒ๐—ฝ๐˜€ ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€ ๐—™๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ | ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐— ๐—Ÿ๐—˜ & ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€ for free by designing, building and deploying an end-to-end ML batch system ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 2.5 ๐˜ฉ๐˜ฐ๐˜ถ๐˜ณ๐˜ด ๐˜ฐ๐˜ง ๐˜ณ๐˜ฆ๐˜ข๐˜ฅ๐˜ช๐˜ฏ๐˜จ & ๐˜ท๐˜ช๐˜ฅ๐˜ฆ๐˜ฐ ๐˜ฎ๐˜ข๐˜ต๐˜ฆ๐˜ณ๐˜ช๐˜ข๐˜ญ๐˜ด

phidata - Build AI Assistants with function calling and connect LLMs to external tools.

loopquest - A Production Tool for Embodied AI

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Media-Recommendation-Engine vs mnist-mlops-learning mlrun vs feast Media-Recommendation-Engine vs reco-model-monitoring mlrun vs dagster-example-pipeline Media-Recommendation-Engine vs api-gateway mlrun vs flyte Media-Recommendation-Engine vs Jokes_api mlrun vs SmartSim Media-Recommendation-Engine vs energy-forecasting mlrun vs phidata Media-Recommendation-Engine vs loopquest mlrun vs mosec