TensorRec VS RecBole

Compare TensorRec vs RecBole and see what are their differences.

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TensorRec RecBole
0 2
1,186 1,859
- 7.9%
0.0 9.3
2 months ago 14 days ago
Python Python
Apache License 2.0 MIT License
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.

TensorRec

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

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

RecBole

Posts with mentions or reviews of RecBole. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-05.

What are some alternatives?

When comparing TensorRec and RecBole you can also consider the following projects:

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

fastFM - fastFM: A Library for Factorization Machines

spotlight - Deep recommender models using PyTorch.

PFoodReq - Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

torchdrug - A powerful and flexible machine learning platform for drug discovery

libffm - A Library for Field-aware Factorization Machines

recommenders - Best Practices on Recommendation Systems

recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.