Haijun Zhang's Projects
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
distributed version of product-nets
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Factorization machines in python
Python bindings for MuPDF's rendering library.
biLSTM/CNN based deep learning framework for Question Answer Selection.
Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.
Learning to Rank in TensorFlow
推荐系统实例
Best Practices on Recommendation Systems
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
novel deep learning research works with PaddlePaddle
Must-read papers on Recommender System.
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
SASRec: Self-Attentive Sequential Recommendation
A game theoretic approach to explain the output of any machine learning model.
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
A news recommendation evaluation framework
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"