mars
movie-recommender
| mars | movie-recommender | |
|---|---|---|
| - | 1 | |
| 2,678 | 6 | |
| 0.2% | - | |
| 5.7 | 6.1 | |
| 4 months ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
mars
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Tracking mentions began in Dec 2020.
movie-recommender
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4 tips for creating an impressive data science portfolio on GitHub
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
What are some alternatives?
modin - Modin: Scale your Pandas workflows by changing a single line of code
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
xarray - N-D labeled arrays and datasets in Python
psych-verbs - Research experiment design and classification of Romanian emotion verbs
Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
letterboxd_recommendations - Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
scikit-survival - Survival analysis built on top of scikit-learn
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech