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py-linkedin-jobs-scraper. Python
486linkedin-jobs-scraper. TypeScript
186sequelize-typescript-generator. TypeScript
77redis-sliding-rate-limiter. TypeScript
11python3-selenium-chrome. Dockerfile
3m4l-dj-looper. Max for Live DJ looper
3apc40-ableton-remote-script. Akai APC40 mk1 midi remote script for Ableton
1datamining-eval. The project aims to evaluate different recommendation algorithms using standard metrics like RMSE and MAE. Specifically the following algorithms have been evaluated: user-based kNN collaborative filtering, item-based kNN collaborative filtering, content-base, hybrid content-based collaborative filtering, stochastic gradient descent.
1emr-pyspark-docker-tutorial. Python
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