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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Recurrence the recommender paper with Tensorflow2.0

A framework for large scale recommendation algorithms.

TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversion…

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深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

A Deep Learning Recommender System

Natural Language Processing Tutorial for Deep Learning Researchers

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

自己学习推荐系统过程中用到的代码

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…

Papers on Computational Advertising

tensorflow实战练习，包括强化学习、推荐系统、nlp等

An Open Source Machine Learning Framework for Everyone