recs-at-resonable-scale
recommendation-system
| recs-at-resonable-scale | recommendation-system | |
|---|---|---|
| 2 | 1 | |
| 218 | 10 | |
| - | - | |
| 2.3 | 3.6 | |
| about 1 year ago | almost 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
recs-at-resonable-scale
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When writing ML software - how do you use TDD?
Good paper, and in response to that one a team from Coveo, wrote this paper on behavioral tests for recommender systems... and also this repo.
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Creating Personalize Recommendation System Design
Check out RecSys (and while you're at it, if experiment tracking is your thing, try integrating with Comet)
recommendation-system
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Data Engineering Projects for Beginners
Learn how to build a content-based Movie Recommender System
What are some alternatives?
mlops-python-package - Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
PolyFuzz - Fuzzy string matching, grouping, and evaluation.
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
rank_bm25 - A Collection of BM25 Algorithms in Python
distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
docker-livy - Dockerizing and Consuming an Apache Livy environment
Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school
pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.
data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)
text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico
apache-spark-docker - Dockerizing an Apache Spark Standalone Cluster