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2019-sinuokerules

欢迎issue和PR

autofis

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

cplusplus

c++练习

cs224n-learning-camp

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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.

deepneuralnetworksforyoutuberecommendationsimpl

youtube video recommendation（generation 4）

disk_based_inverted_index

a disk based inverted index

dml

MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word2Vec，etc

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

easyrec

A framework for large scale recommendation algorithms.

eat_pyspark_in_10_days

pyspark🍒🥭 is delicious，just eat it!😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

eges

elasticsearch-definitive-guide

欢迎加QQ群：109764489，贡献力量！

fism

implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

fism-1

FISM：Factored Item Similarity Models for Top-N Recommender Systems

graphembedding

Implementation and experiments of graph embedding algorithms.

iqiyi-vid-2019-top4

TOP4 solution of 2019 iQIYI Celebrity Video Identification Challenge

iqiyi_vid_face

爱奇艺多模态人物识别比赛，排名第四

item_recommendation

Machine Learning Library for SVD and NSVD non-supervised learning.

kdtree

A Python implementation of a kd-tree

kdtree_balltree

Python implement of KD_Tree and Ball_Tree

leetcodecplusplus

For improving myself

lshash

A fast Python implementation of locality sensitive hashing.

machinelearning

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mobilerecommendation

movierecommendation

UserCF和ItemCF协同过滤推荐算法的实现