spotlight VS ranking

Compare spotlight vs ranking and see what are their differences.

spotlight

Deep recommender models using PyTorch. (by maciejkula)
Recommender Systems recommender-system Deep Learning learning-to-rank Python Machine Learning matrix-factorization Pytorch
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ranking

Learning to Rank in TensorFlow (by tensorflow)
Ranking Machine Learning Deep Learning information-retrieval learning-to-rank Recommender Systems
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spotlight ranking
- 1
2,934 2,714
- 0.2%
0.0 6.3
over 1 year ago about 1 month ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

spotlight

Posts with mentions or reviews of spotlight. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning spotlight yet.
Tracking mentions began in Dec 2020.

ranking

Posts with mentions or reviews of ranking. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] learning to Rank
    1 project | /r/MachineLearning | 21 Feb 2021
    There are many different models and loss functions used for ranking (Tensorflow Ranking offers a bunch, probably also available for Jax / Pytorch / etc., or easily convertible).

What are some alternatives?

When comparing spotlight and ranking you can also consider the following projects:

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

fastFM - fastFM: A Library for Factorization Machines

torchsort - Fast, differentiable sorting and ranking in PyTorch

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

RecBole - A unified, comprehensive and efficient recommendation library

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

recommenders - Best Practices on Recommendation Systems

libffm - A Library for Field-aware Factorization Machines

rexmex - A general purpose recommender metrics library for fair evaluation.

spotlight vs LightFM ranking vs LightFM spotlight vs fastFM ranking vs torchsort spotlight vs implicit ranking vs RecBole spotlight vs annoy ranking vs BERT-QE spotlight vs TensorRec ranking vs recommenders spotlight vs libffm ranking vs rexmex