TensorRec VS openrec

Compare TensorRec vs openrec and see what are their differences.

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TensorRec openrec
- 1
1,257 406
- -
0.0 0.0
11 months ago about 1 year ago
Python Python
Apache License 2.0 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.

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.

openrec

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

What are some alternatives?

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

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

compression - Data compression in TensorFlow

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

recommenders - Best Practices on Recommendation Systems

fastFM - fastFM: A Library for Factorization Machines

deep-significance - Enabling easy statistical significance testing for deep neural networks.

spotlight - Deep recommender models using PyTorch.

RecBole - A unified, comprehensive and efficient recommendation library

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

libffm - A Library for Field-aware Factorization Machines

LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.