jxz542189/project_category

开源项目整理和分类

常用开源项目

单分类项目

• [分类算法大集合] https://github.com/brightmart/text_classification
• [HAN-text-classification-tf] https://github.com/lc222/HAN-text-classification-tf
• [TextCNN] https://github.com/DongjunLee/text-cnn-tensorflow
• [DESlib] https://github.com/Menelau/DESlib
• [fasttext] https://github.com/facebookresearch/fastText
• [capsule_text] https://github.com/andyweizhao/capsule_text_classification

多标签分类

• [AI Challenger第一名] https://github.com/chenghuige/wenzheng 重点 https://mp.weixin.qq.com/s/J6jPxIToPJsA7aSb7wzIuQ https://mp.weixin.qq.com/s/W0PhbE8149nD3Venmy33tw
• [AI Challenger第十七名] https://github.com/BigHeartC/Al_challenger_2018_sentiment_analysis 重点 分类不平衡权重 额外特征 模型集成
• [AI Challenger] https://github.com/xueyouluo/fsauor2018 改造的ELMO编码
• [IARM] https://github.com/SenticNet/IARM
• [GCAE] https://github.com/wxue004cs/GCAE
• [SU4MLC] https://github.com/lancopku/SU4MLC
• [LDA_thesis] https://github.com/KenHBS/LDA_thesis
• [C2AE-Multilabel-Classification] https://github.com/dhruvramani/C2AE-Multilabel-Classification
• [magpie] https://github.com/inspirehep/magpie
• [Multi-Label-Text-Classification] https://github.com/RandolphVI/Multi-Label-Text-Classification
• [SGM] https://github.com/lancopku/SGM
• [scikit-multilearn] https://github.com/scikit-multilearn/scikit-multilearn
• [Multi-label-Paper] https://github.com/XSilverBullet/Multi-label-Paper

阅读理解

• [PocketFlow] https://github.com/Tencent/PocketFlow
• [MnemonicReader] https://github.com/HKUST-KnowComp/MnemonicReader
• [RCPapers] https://github.com/thunlp/RCPapers
• [QANet] https://github.com/NLPLearn/QANet
• [R-Net] https://github.com/HKUST-KnowComp/R-Net
• [MultiRC] https://github.com/CogComp/multirc

机器推理

• [mac-network] https://github.com/stanfordnlp/mac-network

语义理解

• [MultiNLI] https://github.com/nyu-mll/multiNLI

语义匹配

• [Semantic_Similarity] https://github.com/AaronWuu/Semantic_Similarity
• [BiMPM] https://github.com/jxz542189/BiMPM
• [MatchZoo] https://github.com/faneshion/MatchZoo
• [SeqMatchSeq] https://github.com/shuohangwang/SeqMatchSeq
• [SPM_toolkit] https://github.com/ChenglongChen/SPM_toolkit
• [Attentive_Convolution] https://github.com/yinwenpeng/Attentive_Convolution
• [ABCNN] https://github.com/galsang/ABCNN
• [Familia] https://github.com/baidu/Familia
• [SPM_toolkit] https://github.com/lanwuwei/SPM_toolkit

主题模型

• [Familia] https://github.com/baidu/Familia
• [corex_topic] https://github.com/gregversteeg/corex_topic
• [GuidedLDA] https://github.com/vi3k6i5/GuidedLDA
• [bnpy] https://github.com/birlrobotics/bnpy

问答系统

• [QA-deep-learning] https://github.com/white127/QA-deep-learning
• [IRN] https://github.com/zmtkeke/IRN
• [kbqa] https://github.com/quyingqi/kbqa-ar-smcnn
• [AnyQ] https://github.com/baidu/AnyQ
• [DrQA] https://github.com/facebookresearch/DrQA
• [pythia] https://github.com/facebookresearch/pythia
• [document-qa] https://github.com/allenai/document-qa
• [learning2ASK_TypedDecoder] https://github.com/victorywys/Learning2Ask_TypedDecoder

语义解析

• [sling] https://github.com/google/sling

句子对匹配

• [atec-nlp] https://github.com/Lapis-Hong/atec-nlp孪生神经网络

自然语言处理库

• [DataScienceCodes] https://github.com/stasi009/DataScienceCodes tf_serving实例代码 tensorflow多机分布式训练代码
• [natural_language_processing] https://github.com/murlisingh/Natural_Language_Processing
• [allennlp] https://github.com/allenai/allennlp
• [finch] https://github.com/zhedongzheng/finch
• [nlp_architect] https://github.com/NervanaSystems/nlp-architect
• [PyTorch_NLP] https://github.com/PetrochukM/PyTorch-NLP
• [deepnlp] https://github.com/rockingdingo/deepnlp
• [xmnlp] https://github.com/SeanLee97/xmnlp
• [lac] https://github.com/baidu/lac
• [decaNLP] https://github.com/salesforce/decaNLP
• [DeepLearning_NLP] https://github.com/supercoderhawk/DeepLearning_NLP

文本生成

• [Texar] https://github.com/asyml/texar

关系抽取和信息抽取

• [foolnltk] https://github.com/rockyzhengwu/FoolNLTK
• [PCNN] https://github.com/pencoa/PCNN
• [triplets-extraction] https://github.com/zsctju/triplets-extraction
• [Information-Extraction-Chinese] https://github.com/crownpku/Information-Extraction-Chinese
• [mae-model] https://github.com/rloganiv/mae-model
• [zhopenie] https://github.com/tim5go/zhopenie
• [iepy] https://github.com/machinalis/iepy
• [e2e-ie-release] https://github.com/rasmusbergpalm/e2e-ie-release
• [OpenNRE] https://github.com/thunlp/OpenNRE
• [CausalityEventExraction] https://github.com/liuhuanyong/CausalityEventExtraction
• [MITIE] https://github.com/mit-nlp/MITIE
• [Chinese-Knowledge-Triples-Extraction] https://github.com/Heavenlinguistics/Chinese-Knowledge-Triples-Extraction
• [open-entity-relation-extraction] https://github.com/lemonhu/open-entity-relation-extraction 重点看一下
• [EventTriplesExtraction] https://github.com/liuhuanyong/EventTriplesExtraction
• [hello_world] https://github.com/blmoistawinde/hello_world 与HarvestText开源项目配套，社交网络 共指消解 指代消解
• [HarvestText] https://github.com/blmoistawinde/HarvestText 领域自适应文本挖掘工具
• [cocoNLP] 中文抽取工具 https://github.com/fighting41love/cocoNLP
• [Entity-Relation-Extraction] https://github.com/yuanxiaosc/Entity-Relation-Extraction

聊天机器人

• [multiwoz] https://github.com/budzianowski/multiwoz
• [awesome-chatbot] https://github.com/BUPT/awesome-chatbot
• [hred] https://github.com/hsgodhia/hred
• [attention-hred] https://github.com/TusharNimbhorkar/attention-hred
• [DeepPavlov] https://github.com/deepmipt/DeepPavlov
• [joint-slu-lm] https://github.com/HadoopIt/joint-slu-lm
• [RNN-for-Joint-NLU] https://github.com/applenob/RNN-for-Joint-NLU
• [chatbot-MemN2N] https://github.com/vyraun/chatbot-MemN2N-tensorflow
• [Mem2Seq] https://github.com/HLTCHKUST/Mem2Seq
• [seq2seq_chatbot_new] https://github.com/lc222/seq2seq_chatbot_new
• [just_another_seq2seq] https://github.com/qhduan/just_another_seq2seq
• [ConversationalRobotDesign] https://github.com/qhduan/ConversationalRobotDesign

推荐算法

• [RecQ] https://github.com/Coder-Yu/RecQ
• [MoHR] https://github.com/kang205/MoHR
• [CollaborativeMemoryNetwork] https://github.com/tebesu/CollaborativeMemoryNetwork
• [RppleNet] https://github.com/hwwang55/RippleNet
• [citepmatic] https://github.com/allenai/citeomatic
• [MPCN] https://github.com/vanzytay/KDD2018_MPCN
• [ATRank] https://github.com/jinze1994/ATRank
• [Deep_Matrix_Factorization_Models] https://github.com/RuidongZ/Deep_Matrix_Factorization_Models
• [LightGBM] https://github.com/Microsoft/LightGBM
• [Autorec] https://github.com/gtshs2/Autorec
• [autosvdpp] https://github.com/cheungdaven/autosvdpp
• [metricfactorization] https://github.com/cheungdaven/metricfactorization
• [DKN] https://github.com/hwwang55/DKN
• [tensorflow-DeepFM] https://github.com/ChenglongChen/tensorflow-DeepFM
• [Surprise] https://github.com/NicolasHug/Surprise
• [lightfm] https://github.com/lyst/lightfm
• [toyslim] https://github.com/ruhan/toyslim
• [recsys] https://github.com/gssci/recsys-python
• [Restricted-Boltzmann-Machine] https://github.com/artem-oppermann/Restricted-Boltzmann-Machine
• [mrec] https://github.com/Mendeley/mrec
• [tensorrec] https://github.com/jfkirk/tensorrec
• [crab] https://github.com/muricoca/crab
• [awesome-RecSys-papers] https://github.com/YuyangZhangFTD/awesome-RecSys-papers
• [tensorflow_pratice] https://github.com/princewen/tensorflow_practice
• [Recurrent_Recommender_Networks] https://github.com/RuidongZ/Recurrent_Recommender_Networks
• [Probabilistic_Matrix_Factorization] https://github.com/fuhailin/Probabilistic-Matrix-Factorization
• [论文集合] https://github.com/robi56/Deep-Learning-for-Recommendation-Systems

广告点击率

• [Tencent2018_Lookalike_Rank7th] https://github.com/guoday/Tencent2018_Lookalike_Rank7th
• [ad-reading] https://github.com/jyfeather/ad-reading
• [dnn_ctr] https://github.com/nzc/dnn_ctr
• [tensorflow_practice] https://github.com/princewen/tensorflow_practice
• [wide_deep] https://github.com/Lapis-Hong/wide_deep
• [DeepCTR] https://github.com/shenweichen/DeepCTR
• [DeepInterestNetwork] https://github.com/zhougr1993/DeepInterestNetwork
• [self-attentive-ncf] https://github.com/wubinzzu/self-attentive-ncf

知识图谱

• [scikit-kge]知识图谱嵌入 https://github.com/mnick/scikit-kge
• [Agriculture_KnowledgeGraph]农业知识图谱 https://github.com/qq547276542/Agriculture_KnowledgeGraph
• [KnowledgeGraph]知识图谱数据免费下载 https://github.com/ownthink/KnowledgeGraph
• [QASystemOnMedicalKG] 以疾病为中心的一定规模医药领域知识图谱 https://github.com/liuhuanyong/QASystemOnMedicalKG
• [neo4j-python-pandas-py2neo-v3] https://github.com/Skyellbin/neo4j-python-pandas-py2neo-v3
• [py2neo] https://github.com/technige/py2neo
• [stock-knowledge-graph] https://github.com/lemonhu/stock-knowledge-graph
• [TextGrapher] https://github.com/liuhuanyong/TextGrapher 根据文档生成图谱

关键字抽取

• [flashtext] https://github.com/vi3k6i5/flashtext
• [keyphrase-extraction] https://github.com/swisscom/ai-research-keyphrase-extraction
• [rake-nltk] https://github.com/csurfer/rake-nltk
• [keyword_extraction] https://github.com/AimeeLee77/keyword_extraction

自动文摘

• [reduction] https://github.com/adamfabish/Reduction
• [lexrank] https://github.com/wikibusiness/lexrank
• [Refresh] https://github.com/EdinburghNLP/Refresh
• [BM25] https://github.com/nhirakawa/BM25
• [snip_nlu] https://github.com/snipsco/snips-nlu
• [FastTextRank] https://github.com/ArtistScript/FastTextRank
• [TextRank4ZH] https://github.com/letiantian/TextRank4ZH
• [sumy] https://github.com/miso-belica/sumy

命名实体识别

• [BERT-BiLSTM-CRF-NER] https://github.com/macanv/BERT-BiLSTM-CRF-NER
• [LD_Net] https://github.com/LiyuanLucasLiu/LD-Net
• [neural_sequence_labeling] https://github.com/IsaacChanghau/neural_sequence_labeling
• [ChineseNER] https://github.com/buppt/ChineseNER
• [NER] https://github.com/ZhixiuYe/NER-pytorch
• [HSCRF] https://github.com/ZhixiuYe/HSCRF-pytorch
• [NCRFpp] https://github.com/jiesutd/NCRFpp
• [LatticeLSTM] https://github.com/jiesutd/LatticeLSTM

机器翻译

• [AIChallenger2018_English_Chinese_Machine_Translation] https://github.com/gzhcv/AIChallenger2018_English_Chinese_Machine_Translation
• [Document-Transformer] https://github.com/THUNLP-MT/Document-Transformer

基于方向的情感分析

• [ABSA] https://github.com/songyouwei/ABSA-PyTorch
• [RAM] https://github.com/lpq29743/RAM
• [TD-LSTM] https://github.com/jimmyyfeng/TD-LSTM
• [Aspect-level-sentiment] https://github.com/ruidan/Aspect-level-sentiment
• [MemNet4Sentiment] https://github.com/abhimanu/MemNet4Sentiment
• [IAN] https://github.com/lpq29743/IAN

词向量

• [bilm-tf] https://github.com/allenai/bilm-tf
• [word2vec] https://github.com/tmikolov/word2vec
• [finetune-transformer-lm] https://github.com/openai/finetune-transformer-lm
• [bert] https://github.com/google-research/bert
• [skip_thought_tf] https://github.com/persiyanov/skip-thought-tf

局部敏感hash

• [datasketch] https://github.com/ekzhu/datasketch

情感分析

• [CharLSTM] https://github.com/charlesashby/CharLSTM
• [SA-DL] https://github.com/songyouwei/SA-DL
• [Customer_Satisfaction_Analysis] https://github.com/CarryChang/Customer_Satisfaction_Analysis

聚类

• [DEC-Keras] https://github.com/fferroni/DEC-Keras
• [mediods] https://github.com/alexprengere/medoids

自注意力

• [BiBloSA] https://github.com/jxz542189/BiBloSA
• [DiSAN] https://github.com/taoshen58/DiSAN

NLP代码

• [deepnlp] https://github.com/rockingdingo/deepnlp
• [NLP_Code_Index] https://github.com/lancopku/NLP_Code_Index
• [funNLP] https://github.com/fighting41love/funNLP 中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取
• [Jiagu] https://github.com/ownthink/Jiagu 深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要

强化学习

• [gym] https://github.com/openai/gym
• [baselines] https://github.com/openai/baselines
• [vae_cf] https://github.com/dawenl/vae_cf
• [dopamine] https://github.com/google/dopamine
• [Personae] https://github.com/Ceruleanacg/Personae
• [DeepRL] https://github.com/ShangtongZhang/DeepRL
• [reinforcement-learning-an-introduction] https://github.com/ShangtongZhang/reinforcement-learning-an-introduction

中文数据集和资料

• [Chinese_Corpus] https://github.com/GeneralZh/Chinese_Corpus
• [chinese_dictionary] https://github.com/guotong1988/chinese_dictionary
• [Awesome-Chinese-NLP] https://github.com/crownpku/Awesome-Chinese-NLP
• [ChineseNLPCorPus] https://github.com/liuhuanyong/ChineseNLPCorpus
• [ChineseNlpCorpus] https://github.com/SophonPlus/ChineseNlpCorpus
• [Chinese-Literature-NER-RE-Dataset] https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset

分词工具

• [ID-CNN-CWS] https://github.com/hankcs/ID-CNN-CWS
• [pyltp] https://github.com/HIT-SCIR/pyltp
• [pkuseg-python] https://github.com/lancopku/pkuseg-python

Tensorflow例子

• [model/research] https://github.com/tensorflow/models/tree/master/research 多GPU实例代码
• [100-Days-Of-ML-Code] https://github.com/Avik-Jain/100-Days-Of-ML-Code
• [Tensorflow-examples] https://github.com/aymericdamien/TensorFlow-Examples
• [hub] tensorflow模型复用 https://github.com/tensorflow/hub
• [ranking] https://github.com/tensorflow/ranking 排序

Tensorflow serving

• [tensorflow-serving-tutorial] https://github.com/gyang274/tensorflow-serving-tutorial
• [tensorflow-serving-example] https://github.com/yu-iskw/tensorflow-serving-example
• [serving] https://github.com/tensorflow/serving

社区诊断

• [python-louvain] https://github.com/taynaud/python-louvain

数据库

• [pymysql] https://github.com/jxz542189/pymysql-connpool

数据结构和算法

• [leetCode] https://github.com/HuberTRoy/leetCode
• [Introduction_to_Algorithms] https://github.com/huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms
• [algorithms_and_data_structures] https://github.com/mandliya/algorithms_and_data_structures
• [CodingInterviews] https://github.com/gatieme/CodingInterviews
• [c-algorithms] https://github.com/fragglet/c-algorithms
• [Learn-Algorithms] https://github.com/nonstriater/Learn-Algorithms
• [Python] https://github.com/TheAlgorithms/Python

并发编程

• [jug] https://github.com/luispedro/jug
• [ray] https://github.com/ray-project/ray
• [horovod] https://github.com/uber/horovod
• [pathos] https://github.com/uqfoundation/pathos
• [multiprocess] https://github.com/uqfoundation/multiprocess
• [blackbox] https://github.com/paulknysh/blackbox

优秀博客

• https://alanlee.fun/ datasets和estimator
• https://www.jianshu.com/u/c5df9e229a67 推荐系统和强化学习
• http://www.cnblogs.com/pinard/
• http://xudongyang.coding.me/ 深度学习优化建议 、estimator等高级API学习、推荐系统

LSTM变种

• [srnn] https://github.com/zepingyu0512/srnn
• [qrnn] https://github.com/salesforce/pytorch-qrnn
• [nlstm] https://github.com/hannw/nlstm

tensorflow eager

• [tensorflow-eager-tutorials] https://github.com/madalinabuzau/tensorflow-eager-tutorials

语言模型工具

• [FoolNLTK] https://github.com/rockyzhengwu/FoolNLTK
• [kenlm] https://github.com/kpu/kenlm

支持并发部署(ZMQ)

• [pyzmq] https://github.com/zeromq/pyzmq
• [pyzmq] https://github.com/ihasn/pyzmq_examples
• [pyzmq-py3k-examples] https://github.com/minrk/pyzmq-py3k-examples
• [nanomsg-python] https://github.com/tonysimpson/nanomsg-python
• [zguide] https://github.com/booksbyus/zguide
• [python-zeroless] https://github.com/zmqless/python-zeroless

内存监测

• [memory_profile] https://github.com/pythonprofilers/memory_profiler
• [memspector] https://github.com/asciimoo/memspector

函数命令行执行

• [commandr] https://github.com/tellapart/commandr

时间包裹

• [Timer_wrapper] https://github.com/AndriyLazorenko/Timer_wrapper_python

cython编译Python函数

• [cython_c_extension] https://github.com/aphearin/cython_c_extension_example
• [cython_tutorial] https://github.com/adrn/cython-tutorial
• [statically] https://github.com/AlanCristhian/statically

繁体转简体

• [zhconv] https://github.com/gumblex/zhconv

竞赛

• [汽车行业用户观点主题及情感识别] https://github.com/yilirin/BDCI_Car_2018
• [CDCS] https://github.com/geekinglcq/CDCS 竞赛项目收集
• [CCF-BDCI-Automotive-Field-ASC-2018] https://github.com/nlpjoe/CCF-BDCI-Automotive-Field-ASC-2018
• [O2O-Coupon-Usage-Forecast] https://github.com/wepe/O2O-Coupon-Usage-Forecast

skearn转为PMML

• [sklearn2pmml] https://github.com/jpmml/sklearn2pmml

sklearn包裹pytorch

• [skorch] https://github.com/dnouri/skorch

神经网络超参数优调

• [nni] https://github.com/Microsoft/nni

神经网络梯度优化

• [swa] https://github.com/timgaripov/swa

神经网络模型集成

• [dnn-mode-connectivity] https://github.com/timgaripov/dnn-mode-connectivity
• [snapshot_ensembles] https://github.com/arthurdouillard/keras-snapshot_ensembles

神经网络库

• [sonnet] https://github.com/deepmind/sonnet

机器学习生命周期开放平台和算法部署

• [mlflow] https://github.com/mlflow/mlflow
• [graphpipe] https://github.com/oracle/graphpipe

tensorflow部署

• [serving] https://github.com/tensorflow/serving
• [simple_tensorflow_serving] https://github.com/tobegit3hub/simple_tensorflow_serving

Tensorflow封装库

• [sonnet] https://github.com/deepmind/sonnet

Tensorflow模型分析工具

• [model-analysis] https://github.com/tensorflow/model-analysis

贝叶斯

• [pymc] https://github.com/pymc-devs/pymc
• [BayesianOptimization] https://github.com/fmfn/BayesianOptimization

自动梯度

• [autograd] https://github.com/HIPS/autograd

docker

• [docker_cmpose_demo] https://github.com/vegasbrianc/docker-compose-demo
• [docker_practice] https://github.com/yeasy/docker_practice

numpy优化工具包

• [numba] https://github.com/numba/numba

时间转化

• [Time_NLP] https://github.com/zhanzecheng/Time_NLP
• [fleming] https://github.com/ambitioninc/fleming

新词发现

• [xinci] https://github.com/Lapis-Hong/xinci
• [Chinese_Segment_augment] https://github.com/zhanzecheng/Chinese_segment_augment

复现论文集合

• [DeepLearn] https://github.com/uber/horovod
• [attn2d] https://github.com/elbayadm/attn2d
• [SWEM] https://github.com/dinghanshen/SWEM https://arxiv.org/abs/1805.09843
• [var-attn] https://github.com/harvardnlp/var-attn https://arxiv.org/abs/1807.03756

跨深度学习平台

• [MMdnn] https://github.com/Microsoft/MMdnn

深度学习项目模板

• [Tensorflow-Project-Template] https://github.com/MrGemy95/Tensorflow-Project-Template

spark zookeeper

• [kazoo] https://github.com/python-zk/kazoo
• [docker-spark] https://github.com/big-data-europe/docker-spark

代码开发过程工具

• [yapf] https://github.com/google/yapf
• [isort] https://github.com/timothycrosley/isort
• [flake8] https://github.com/PyCQA/flake8
• [coveragepy] https://github.com/nedbat/coveragepy
• [pytest] https://github.com/pytest-dev/pytest

过程和系统检测

• [psutil] https://github.com/giampaolo/psutil

机器学习优化工具

• [tpot] https://github.com/EpistasisLab/tpot

最近邻

• [nmslib] https://github.com/nmslib/nmslib
• [annoy] https://github.com/spotify/annoy

其他编码转为utf8

• [convert2utf] https://github.com/x1angli/convert2utf

统计模型

• [probability] https://github.com/tensorflow/probability
• [pomegranate] https://github.com/jmschrei/pomegranate
• [statsmodels] https://github.com/statsmodels/statsmodels
• [altair] https://github.com/altair-viz/altair Declarative statistical visualization library

画图工具

• [networkx] https://github.com/networkx/networkx
• [pyecharts] https://github.com/pyecharts/pyecharts

序列到序列

• [conv_seq2seq] https://github.com/tobyyouup/conv_seq2seq

异常点检测

• [Pyod] https://github.com/yzhao062/Pyod

时间序列

• [RNN-Active-User-Forecast] https://github.com/drop-out/RNN-Active-User-Forecast
• [pyflux] https://github.com/RJT1990/pyflux

自动keras

• [autokeras] https://github.com/jhfjhfj1/autokeras

有用工具

• [PySnooper] https://github.com/cool-RR/PySnooper

无法归类

• [DeepLearning-500-questions] https://github.com/scutan90/DeepLearning-500-questions
• [书籍下载] https://github.com/KeKe-Li/book
• [Top-Deep-Learning] https://github.com/mbadry1/Top-Deep-Learning

数据集

• [dict_build] https://github.com/sing1ee/dict_build
• [ChineseNlpCorpus] https://github.com/SophonPlus/ChineseNlpCorpus
• [nlp_chinese_corpus] https://github.com/brightmart/nlp_chinese_corpus 中文大数据量
• [COER] https://github.com/TJUNLP/COER 实体抽取数据集
• [Chinese-Literature-NER-RE-Dataset] 命名实体和关系抽取数据集 https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset/tree/master/relation_extraction/Training

面试

• [Algorithm_Interview_Notes-Chinese] https://github.com/imhuay/Algorithm_Interview_Notes-Chinese