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ad-papers

Papers on Computational Advertising

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

ctr_prediction

CTR prediction using FM FFM and DeepFM

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

deep-relevance-ranking

Deep Relevance Ranking Using Enhanced Document-Query Interactions

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deepinterestnetwork

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

dssm

DSSM and Multi-View DSSM

ecosystem

Integration of TensorFlow with other open-source frameworks

keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

knowledge_graph-in-item2item

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machine-learning-from-scratch

常用机器学习的算法简洁实现

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-homework-cz

机器学习相关作业

node2vec_spark

edited based on stanford node2vec spark code

openke

An Open-Source Package for Knowledge Embedding (KE)

opennmt-py

Open Source Neural Machine Translation in PyTorch

recommenders

Best Practices on Recommendation Systems

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rspapers

Must-read papers on Recommender System.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sheep

羊羊