fastFM
fastFM: A Library for Factorization Machines (by ibayer)
libffm
A Library for Field-aware Factorization Machines (by ycjuan)
Our great sponsors
fastFM | libffm | |
---|---|---|
0 | 0 | |
1,058 | 1,594 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | about 3 years ago | |
Python | C++ | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
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.
fastFM
Posts with mentions or reviews of fastFM.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning fastFM yet.
Tracking mentions began in Dec 2020.
libffm
Posts with mentions or reviews of libffm.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning libffm yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing fastFM and libffm you can also consider the following projects:
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
spotlight - Deep recommender models using PyTorch.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.