garrascobike-be
movie-recommender
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| garrascobike-be | movie-recommender | |
|---|---|---|
| 1 | 1 | |
| 0 | 6 | |
| - | - | |
| 0.0 | 6.1 | |
| about 2 years ago | over 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
garrascobike-be
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Garrascobike: bike recommendation system Web App
garrascobike-be - code of the back end system
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?
profanity-check - A fast, robust Python library to check for offensive language in strings.
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
aiob2 - A modern and Pythonic Backblaze B2 API wrapper
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
subreddit-text-downloader - Download subreddit comments
psych-verbs - Research experiment design and classification of Romanian emotion verbs
garrascobike-fe - Front-end code of the Garrascobike project
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
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.