RecBole VS PFoodReq

Compare RecBole vs PFoodReq and see what are their differences.

PFoodReq

Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph" (by hugochan)
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RecBole PFoodReq
3 1
3,163 57
2.2% -
8.4 0.0
20 days ago over 3 years ago
Python Python
MIT License 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.

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.

PFoodReq

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

What are some alternatives?

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

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

kg-reeval - ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

RecSysDatasets - This is a repository of public data sources for Recommender Systems (RS).

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

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 🤖

ranking - Learning to Rank in TensorFlow

GraphNorm - [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)

spotlight - Deep recommender models using PyTorch.

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

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)