Media-Recommendation-Engine VS loopquest

Compare Media-Recommendation-Engine vs loopquest 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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loopquest

A Production Tool for Embodied AI (by LoopMind-AI)
decision-making-algorithm foundation-model Gym gym-environment Mlops mlops-workflow reinforcement-learning rlops Simulation reinforcement-learning-ops Machine Learning offline-reinforcement-learning embodied-agent embodied-ai
Source Code
loopquest.ai
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Media-Recommendation-Engine loopquest
1 1
12 26
- -
0.0 8.0
about 1 year ago 11 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.

loopquest

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

What are some alternatives?

When comparing Media-Recommendation-Engine and loopquest 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.

Gym-Trading-Env - A simple, easy, customizable Gymnasium environment for trading.

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

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

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

pyreason-gym - An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting

api-gateway - 🚪 Kong API Gateway

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

CORL - High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

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

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Media-Recommendation-Engine vs mlrun loopquest vs Gym-Trading-Env Media-Recommendation-Engine vs mnist-mlops-learning loopquest vs AgileRL Media-Recommendation-Engine vs reco-model-monitoring loopquest vs pyreason-gym Media-Recommendation-Engine vs api-gateway loopquest vs mlrun Media-Recommendation-Engine vs Jokes_api loopquest vs CORL Media-Recommendation-Engine vs energy-forecasting loopquest vs rex-gym