MovieRecommender VS tutorials

Compare MovieRecommender vs tutorials and see what are their differences.

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MovieRecommender tutorials
4 3
32 959
- 0.0%
0.0 0.0
over 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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.

tutorials

Posts with mentions or reviews of tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-13.

What are some alternatives?

When comparing MovieRecommender and tutorials you can also consider the following projects:

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

diffusion-models-class - Materials for the Hugging Face Diffusion Models Course

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

pml-book - "Probabilistic Machine Learning" - a book series by Kevin Murphy

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence