sangyongjia's repositories
LeetCodeCplusplus
For improving myself
x-deeplearning
An industrial deep learning framework for high-dimension sparse data
2019-sinuokeRules
欢迎issue和PR
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)
eat_pyspark_in_10_days
pyspark🍒🥭 is delicious,just eat it!😋😋
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Factor-Investing-CN
感谢石川等大佬的著作《因子投资-方案与实际》,本repo将尝试作为补充,为各个概念提供说明,以及尝试提供实现部分代码
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
iQIYI-VID-2019-TOP4
TOP4 solution of 2019 iQIYI Celebrity Video Identification Challenge
KDTree_BallTree
Python implement of KD_Tree and Ball_Tree
Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
py-mlfactor
Rewriting the code in "Machine Learning for Factor Investing" in Python
Reco-papers
Classic papers and resources on recommendation
recommenders
Best Practices on Recommendation Systems
stock
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
vector-provision-options
Tutorial to demonstrate different ways of providing vectors for Weaviate objects