MarkClemens301

大数据PAAS、数据挖掘、传统软件开发、微服务。语言熟悉度: Java, Python, Shell, SQL, C/C++, GO, JS

Huazhong University of Science & TechnologyBeijing, China

Pinned Repositories

awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
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CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
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DataMiningAlgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
Language:Java1 0 00
delight-nashorn-sandbox
A sandbox for executing JavaScript with Nashorn in Java.
Language:Java1 0 00
electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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interviews
Everything you need to know to get the job.
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JavaGuide
【Java学习+面试指南】一份涵盖大部分Java程序员所需要掌握的核心知识。
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JavaStudy
A project for beginners to learn Java
Language:Java1 1 00
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
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MarkClemens301.github.io
个人博客主页
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MarkClemens301's Repositories

MarkClemens301/delight-nashorn-sandbox
A sandbox for executing JavaScript with Nashorn in Java.
Language:Java1 0 00
MarkClemens301/interview_internal_reference
2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
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MarkClemens301/Java-27days
27天成为Java大神
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MarkClemens301/JavaStudy
A project for beginners to learn Java
Language:Java1 1 00
MarkClemens301/netty
Netty project - an event-driven asynchronous network application framework
Language:Java1 0 0
MarkClemens301/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
Language:C1 0 0
MarkClemens301/JavaGuide
【Java学习+面试指南】一份涵盖大部分Java程序员所需要掌握的核心知识。
Language:Java0 0 00
MarkClemens301/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Language:Go0 0 00
MarkClemens301/MarkClemens301.github.io
个人博客主页
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MarkClemens301/AutoPhrase
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
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MarkClemens301/awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
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MarkClemens301/be-a-professional-programmer
成为专业程序员路上用到的各种优秀资料、神器及框架
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MarkClemens301/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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MarkClemens301/cogdl
CogDL: An Extensive Research Toolkit for Graphs
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MarkClemens301/CookBook
🎉🎉🎉JAVA高级架构师技术栈==任何技能通过 “刻意练习” 都可以达到融会贯通的境界，就像烹饪一样，这里有一份JAVA开发技术手册，只需要增加自己练习的次数。🏃🏃🏃
Language:Java0 0
MarkClemens301/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
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MarkClemens301/google_trans_new
A free and unlimited python API for google translate.
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MarkClemens301/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
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MarkClemens301/hello-algorithm
🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图（右侧来个 star 吧 🌹，English version supported）
Language:Java0 0
MarkClemens301/JavaFamily
【Java面试+Java学习指南】一份涵盖大部分Java程序员所需要掌握的核心知识。
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MarkClemens301/jdk
JDK main-line development
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MarkClemens301/learning-area
Github repo for the MDN Learning Area.
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MarkClemens301/LearnPython
以撸代码的形式学习Python
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MarkClemens301/OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
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MarkClemens301/ShiYanLou
学习C & C++ & python&汇编语言 LLVM编译器数据结构算法操作系统单片机 linux 面试
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MarkClemens301/stanza
Official Stanford NLP Python Library for Many Human Languages
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MarkClemens301/tBERT
Code for the ACL 2020 paper 'tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection'.
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MarkClemens301/text-classification-surveys
文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。
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MarkClemens301/toBeTopJavaer
To Be Top Javaer - Java工程师成神之路
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MarkClemens301/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
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