Python implementation of Factorization Machine
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Updated
Feb 12, 2018 - Python
Python implementation of Factorization Machine
Factorization Machine, Deep Learning, Recommender System
Tensorflow implementation of DeepFM for CTR prediction.
Recommendation Models in TensorFlow
An implementation of WARP/FM for hybrid recommendation in Cython.
CTR Prediction on PyTorch
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
Reusable deep learning models for recommendation systems
Accelerating Inference for Recommendation Systems (WSDM'21)
Recommender Learning with Tensorflow2.x
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Recommender system using factorization models
Joint Embedding-classifier Learning for improved Interpretability (JELI)
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