#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
翻译 - 基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。
#计算机科学#【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
翻译 - 【PyTorch】基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。
Tensorflow implementation of DeepFM for CTR prediction.
Recommender Learning with Tensorflow2.x
A framework for large scale recommendation algorithms.
Factorization Machine models in PyTorch
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
#计算机科学#TensorFlow Script
#计算机科学#DeepTables: Deep-learning Toolkit for Tabular data
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Co...
A PyTorch implementation of DeepFM for CTR prediction problem.
#计算机科学#Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Implements of Awesome RecSystem Models with PyTorch/TF2.0
#计算机科学#Deep-Learning based CTR models implemented by PyTorch