liyinchao's repositories
algo
数据结构和算法必知必会的50个代码实现
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
awesome-search-and-recommendation
An awesome paper reading list with focus on search, recommendation, and NLP
bigdata
hadoop,hbase,storm,spark,etc..
codelf
A search tool helps dev to solve the naming things problem.
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
emotional_analysis
基于Spark网易云音乐数据分析【1.图计算 2.机器学习预测歌曲分类 3.评论词云 4.评论时间段 5.评论top榜 6.热歌top榜 7.用户性别比例 8.用户星座比例 9.用户年龄比例 10.用户全国地理分布 11.热评搜索等等..】
FASPell
2019-SOTA简繁中文拼写检查工具：FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)
flink-learning
flink learning blog. http://www.54tianzhisheng.cn
Interview
Interview = 简历指南 + LeetCode + Kaggle
KBQA-BERT
基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式
knowledge-graph-nlp-in-action
从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
learning_to_rank
利用lightgbm做learning to rank排序
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
librec
LibRec: A Leading Java Library for Recommender Systems, see
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
liyinchao_old.github.io
This is my personal blog repository.
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。
ML-Weekly-Learning
一群 ML 自学者的日常
nlp-lang
这个项目是一个基本包.封装了大多数nlp项目中常用工具
pwc
Papers with code. Sorted by stars. Updated weekly.
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.
RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
search_optimize
how to optimize my search engine
Surprise
A Python scikit for building and analyzing recommender systems
TencentPOISpider
腾讯地图poi获取
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.