neural_collaborative_filtering
NeuRec
| neural_collaborative_filtering | NeuRec | |
|---|---|---|
| 1 | 2 | |
| 1,707 | 1,031 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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neural_collaborative_filtering
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How can I load a dataset of sparse vectors (one-hot encoding) efficiently (or lazily) while fitting to prevent overloading GPU's VRAM.
Code for https://arxiv.org/abs/1708.05031 found: https://github.com/hexiangnan/neural_collaborative_filtering
NeuRec
What are some alternatives?
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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Ringer-Client - Ringer is a new messaging app for windows. Its currently in beta but lets work together to make it better. The code here is snapshot code so it might not work as intended. To get the latest stable build pls download the installer.