TensorRec VS federeco

Compare TensorRec vs federeco and see what are their differences.

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TensorRec federeco
- 1
1,258 9
- -
0.0 7.2
12 months ago 10 months 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.

federeco

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

What are some alternatives?

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

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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

Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

fastFM - fastFM: A Library for Factorization Machines

torchrec - Pytorch domain library for recommendation systems

spotlight - Deep recommender models using PyTorch.

libffm - A Library for Field-aware Factorization Machines

recommenders - Best Practices on Recommendation Systems

RecBole - A unified, comprehensive and efficient recommendation library