PyTorch library for recommender systems
Project description
Dataset processing | Training and Tuning | RecBoard
FreeRec is a repository designed for easy (recommendation) data pre-processing and model training. You are free to specify your own framework based on FreeRec.
Requirements:
Python >= 3.9 | PyTorch >=2.0 | TorchData >=0.6.0 | PyG >=2.3
conda create --name=FreeRec python=3.9
conda activate FreeRec
Note: After PyTorch 2.0, TorchData seems to have stopped being updated, and you can install it with --no-deps to avoid installing dependencies.
pip install --no-deps torchdata
Installation
pip install freerec
or (for latest)
pip install git+https://github.com/MTandHJ/freerec.git
Data Pipeline
Refer to here for dataset processing and splitting.
Training Flow
Reference Code
- TorchRec: https://github.com/pytorch/torchrec
- DeepCTR-Torch: https://github.com/shenweichen/DeepCTR-Torch
- FuxiCTR: https://github.com/xue-pai/FuxiCTR
- BARS: https://github.com/openbenchmark/BARS
- RecBole: https://github.com/RUCAIBox/RecBole
Acknowledgements
Thanks to ChatGPT for the annotation of some code. For this reason, some of the comments may be illogical.
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