{"id":18892980,"url":"https://github.com/dongjunlee/beawesometoday","last_synced_at":"2026-03-17T12:05:56.717Z","repository":{"id":236588762,"uuid":"57274681","full_name":"DongjunLee/BeAwesomeToday","owner":"DongjunLee","description":"Be Awesome Today - My Awesome List \u0026 Today I Learned \u0026 Blogging 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\u003csup\u003e\u003cstrong\u003e\n    My Awesome List \u0026 Today I Learned \u0026 Blogging Articles. \u003cbr/\u003e \n    \u003ca href=\"https://dongjunlee.github.io/\"\u003eBlog\u003c/a\u003e\n  \u003c/sup\u003e\n\u003c/p\u003e\n\n## Category \n\n- [My Awesome List](#my-awesome-list)\n- [Today I Learned](#today-i-learned)\n- [HumanBrain (blog)](#humanbrain)\n\n-------------------------------------------------\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/awesome.jpg\" width=300\u003e\n\u003c/p\u003e\n\n# My Awesome List\n\n 공부하고 있거나, 봤던 자료들을 모아 놓는 Awesome List입니다.\n\n## Categories\n\n- [AI](AI/Awesome-AI.md)\n- [Algorithm](Algorithm/Awesome-AIgorithm.md)\n- [AWS](AWS/Awesome-AWS.md)\n- [Code](Code/Awesome-Code.md)\n- [Data Science](Data_Science/Awesome-Data-Science.md)\n- [Deep Learning](Deep_Learning/Awesome-Deep-Learning.md)\n- [Java](Java/Awesome-Java.md)\n- [JavaScript](JavaScript/Awesome-JavaScript.md)\n- [Kaggle](Kaggle/Awesome-Kaggle.md)\n- [Machine Learning](Machine_Learning/Awesome-Machine-Learning.md)\n- [Python](Python/Awesome-Python.md)\n- [Scala](Scala/Awesome-Scala.md)\n- [Spark](Spark/Awesome-Spark.md)\n\n-------------------------------------------------\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"images/til.png\" width=300\u003e\n\u003c/p\u003e\n\n# Today I Learned\n\n새로 알게된 지식들을 정리하고 공유합니다.  \n\n- 마크다운으로 구성\n- 간단한 설명\n- 예시 코드와 함께\n\n## Categories\n\n- [AWS](#aws)\n- [Chat Bot](#chat-bot)\n- [Coding](#coding)\n- [CSS](#css)\n- [Deep Learning](#deep-learning)\n- [Git](#git)\n- [Image Processing](#image-processing)\n- [Insight](#insight)\n- [Machine Learning](#machine-learning)\n- [Nature Language Processing](#nature-language-processing)\n- [Linux](#linux)\n- [Paper](#paper)\n- [Python](#python)\n\n\n## Contents\n\n### AWS\n- [AWS Lambda와 API Gateway를 통한 Serverless Architecture 특집 (윤석찬)](AWS/Serverless_Architecture_seminar.md) ****`Serverless`****\n- [API Gateway request 설정](AWS/Request_object_API_Gateway.md) ****`API Gateway`****\n- [AWS Lambda Tips](AWS/Lambda_Tips.md) ****`Lambda`****\n\n### Chat Bot\n- [Slaker와 Asyncio](Chat_Bot/slacker_and_asyncio.md) ****`Slack Bot`****\n\n### Coding\n- [Iterator Pattern](Code/Iterator.md) ****`Design Pattern`****\n- [손코딩 뇌컴파일 눈디버깅 수련법](Code/HandCoding_BrainCompile_EyeDebugging.md) ****`Practice`****\n- [코딩인터뷰 완전분석](Code/coding_interview.md) ****`Interview`****, ****`Data Structure`****, ****`Algorithm`****\n\n### CSS\n- [CSS Units, 길이 단위](CSS/CSS_Units.md)\n\n### Deep Learning\n\n- Deep Learning Papers migrate to [hb-research/notes](https://github.com/hb-research/notes)\n- [Tensorboard-Basic](Deep_Learning/Tensorboard-Basic.md)\n- [TensorFlow White Paper Summery(kor)](Deep_Learning/Tensorflow-whitepaper-summary_kor.md)\n- [Learning to protect communications with adversarial neural cryptography](Deep_Learning/Learning_to_protect_communications_with_adversarial_neural_cryptography.md)\n- [Deep Learning Tricks \u0026 Tips](Deep_Learning/DL_Tricks_and_Tips.md)\n- [Higher-Level APIs in TensorFlow](Deep_Learning/TensorFlow-High-API.md)\n- [PyTorch - under the hood](Deep_Learning/PyTorch-under-the-hood.md)\n\n### Git\n- [Git Hooks](Git/git-hooks.md) ****`Hook`****\n\n### Java\n- [Exception을 다루는 방법](Java/handle_Exception.md) ****`Exception`****\n- [Java Static Analysis + Jenkins](Java/Jenkis_Static_Analysis.md) ****`Jenkins`****\n\n### Insight\n- [Tech HR 컨퍼런스 참석 후기](Insight/Tech_HR_2017_Review.md) ****`Developer`****, ****`Insight`****\n- [Seeing vs Reading](Insight/Seeing_vs_reading.md) ****`Creative`****, ****`Verbal Thinking`****, ****`Visual Thinking`****\n\n### Image Processing\n- [Cartoon-ify](Image_Processing/catoon-ify.md) ****`SimpleCV`****, ****`Filter`****\n\n### Linux\n- [SSH Background Processing](Linux/ssh_background_processing.md)\n\n### Machine Learning\n- [Gradient Boosting](Machine_Learning/Gradient_Boosting.md) ****`Boosting`****\n\n### Nature Language Processing\n- [CoNLL](Nature_Language_Processing/CoNLL.md) ****`POS \u0026 Dependency Format`****\n- [Word2Vec Summary](Nature_Language_Processing/Word2Vec_summary.md) ****`Word2Vec`****\n\n### Python\n- [Pickle Protocol](Python/Pickle_Protocols.md) ****`Pickle`****\n- [PEP8_Kor](Python/PEP_8/README.md) ****`Style`****\n- [Effective Python Notes](Python/Effective_Python_Summary/README.md) ****`Book`****\n- [Set up and use a virtual python environment](Python/set_up_virtualenvwrapper.md) ****`Env`****\n- [Data Structures in Python 3](Python/Data_structure.md) ****`Data Structure`****, ****`Collections`****\n- [Error Handling in Python](Python/Error_Handling_in_Python.md) ****`Exception`****\n- [Instance, Class, and Static Methods](Python/Instance_Class_and_Static_Methods.md) ****`Scope`****\n- [The Fun of Reinvention](Python/The_Fun_of_reinvention.md) ****`Meta Class`****\n- [Python API Checklist](Python/Python_API_and_Library_CheckList.md) ****`API`****\n\n\n-------------------------------------------------\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"http://humanbrain.in/\"\u003e\n    \u003cimg src=\"images/humanbrain_logo+text.png\" width=300\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n# HumanBrain \n\nPersonal Blog for Develop, Research, Tech, Projects, Life, Etc...\n\n## Articles\n\n- [지식 체화법](Blog/think_embodied.md)  ****`Productivity`**** \n- [HighFashion 프로젝트](Blog/Highfashion_Project.md) ****`Deep Learning`****, ****`Project`****\n- [BeHappy 프로젝트 시작!](Blog/Start_QS_project.md) ****`Quantified Self`****\n- [Node.js를 통해 Slack bot만들기](build_slack_bot_with_nodejs.md) ****`Slack Bot`**** \n- [샐러드를 먹는 스타트업을 위한 Salady Bot 개발기!](Blog/Salady_bot_for_startup.md) ****`Slack Bot`**** \n- [Data and Machine Learning Newsletter.](Blog/data_and_ml_newsletter.md) ****`News Letter`****, ****`Data`****, ****`Machine Learning`**** \n\n### kino-bot  \n\n[Github]() | ****`Slack Bot`****, ****`Personal Assistant`****, ****`Quantified Self`****, \n\n- [Personal Assistant Kino Part 1. Overview](Blog/Personal_Assistant_Kino_Part_1.md) \n- [Personal Assistant Kino Part 2. Skill \u0026 Scheduling](Blog/Personal_Assistant_Kino_Part_2_Skill_and_Scheduler.md)\n- [Personal Assistant Kino Part 3. T3](Blog/Personal_Assistant_Kino_Part_3-T3.md)\n- [Personal Assistant Kino Part 4. Smart Feed](Blog/Personal_Assistant_Kino_Part_4_Smart_Feed.md)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fbeawesometoday","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdongjunlee%2Fbeawesometoday","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fbeawesometoday/lists"}