Comparsion_Segmentation_models VS Media-Recommendation-Engine

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

Comparsion_Segmentation_models

Brief comparison of segmentation models. Trained on Collab, served using Fast-API, streamlit and dockerized. (by Ashish-Surve)
segmentation-models Streamlit fpn Unet comparsion Fastapi Docker
Source Code
frontend-seg-models.herokuapp.com
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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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Comparsion_Segmentation_models Media-Recommendation-Engine
5 1
5 12
- -
3.2 0.0
over 3 years ago about 1 year ago
Python Python
GNU General Public License v3.0 only MIT License
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Comparsion_Segmentation_models

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

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.

What are some alternatives?

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

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.

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

reco-model-monitoring - fastapi + prometheus + grafana 💣

api-gateway - 🚪 Kong API Gateway

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

energy-forecasting - 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

loopquest - A Production Tool for Embodied AI

opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Media-Recommendation-Engine vs mlrun Media-Recommendation-Engine vs mnist-mlops-learning Media-Recommendation-Engine vs reco-model-monitoring Media-Recommendation-Engine vs api-gateway Media-Recommendation-Engine vs Jokes_api Media-Recommendation-Engine vs energy-forecasting Media-Recommendation-Engine vs loopquest Media-Recommendation-Engine vs opyrator