RecBole
TensorRec
Our great sponsors
| RecBole | TensorRec | |
|---|---|---|
| 3 | - | |
| 3,174 | 1,257 | |
| 2.6% | - | |
| 8.4 | 0.0 | |
| 4 days ago | 11 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
RecBole
- RecBole – A unified, comprehensive and efficient recommendation library
-
Observe differences in the behavior of recommendation models using RecBole
RecBole seems to be a joint project started by the laboratories of Renmin University of China and Peking University, and it appeared on arxiv in November 2020. In August 2021, the module that we provide reached v1.0, and it seems to be used by various people in earnest.
- Help with discussion on GitHub (Python)
TensorRec
We haven't tracked posts mentioning TensorRec yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
PFoodReq - Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
RecSysDatasets - This is a repository of public data sources for Recommender Systems (RS).
fastFM - fastFM: A Library for Factorization Machines
torchdrug - A powerful and flexible machine learning platform for drug discovery
spotlight - Deep recommender models using PyTorch.
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
libffm - A Library for Field-aware Factorization Machines
ranking - Learning to Rank in TensorFlow
recommenders - Best Practices on Recommendation Systems