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18 public repositories
matching this topic...
Tensorflow implementation of DeepFM for CTR prediction.
Updated
Jun 10, 2018
Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Updated
Apr 23, 2020
Python
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Updated
Nov 15, 2019
Python
Recurrence the recommender paper with Tensorflow2.0
Updated
Sep 11, 2020
Python
Distributed FM and LR based on Parameter Server with Ftrl
Recommendation Models in TensorFlow
Updated
Dec 28, 2018
Python
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Updated
May 31, 2020
Python
Factorization Machine, Deep Learning, Recommender System
Updated
Apr 16, 2018
Python
implementation of factorization machine, support classification.
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Updated
May 31, 2020
Python
CTR Prediction on PyTorch
Updated
Sep 2, 2019
Python
tensorflow fm example on ml-100k
Updated
Jan 21, 2020
Python
Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
Updated
Jul 23, 2020
Python
Reusable deep learning models for recommendation systems
Updated
Aug 20, 2020
Python
An implementation of WARP/FM for hybrid recommendation in Cython.
Updated
Feb 8, 2019
Python
Factorization Machine Learning
Factorization Machine model and its variations for recommendation systems
Updated
Jan 14, 2020
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modeをcombination-dependentにした場合,n_entitiesとn_featuresを設定させるVの形は (2 * n_entities + n_features, self.k) となる