MovieRecommender VS Artificial-Intelligence-Projects

Compare MovieRecommender vs Artificial-Intelligence-Projects and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
MovieRecommender Artificial-Intelligence-Projects
4 1
32 308
- -
0.0 2.6
over 1 year ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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.

MovieRecommender

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

Artificial-Intelligence-Projects

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

What are some alternatives?

When comparing MovieRecommender and Artificial-Intelligence-Projects you can also consider the following projects:

tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

lolesports-predictor - Personal machine learning & GUI project to predict League of Legends Esports game results between two teams

TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques

apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

recommenders - Best Practices on Recommendation Systems