Tensorflow Recommender (TFRS) or Scikit-Surprise?

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • implicit

    Fast Python Collaborative Filtering for Implicit Feedback Datasets

  • In that case, you are doing some form of collaborative filtering, though you can also add content-based filtering as additional features later. You can use either implicit or explicit feedback. I would suggest checking this package, and this tutorial. Let me know if you have any other questions.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Recommendation system integration

    1 project | /r/django | 31 Mar 2022
  • Content-based Recommender System with Python

    1 project | dev.to | 4 Jan 2022
  • Is there already a profile recommendations engine?

    1 project | /r/Mastodon | 10 Feb 2023
  • [P] Gorse: An open-source recommender system service

    2 projects | /r/MachineLearning | 13 Mar 2022
  • RecBole – A unified, comprehensive and efficient recommendation library

    1 project | news.ycombinator.com | 17 Jan 2024