└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # modu-awesome-lists 2 | 3 | ## 모두연 연구실 블로그 4 | * [모두의연구소 바이오메디컬 랩 기술 블로그] [https://modulabs-biomedical.github.io](https://modulabs-biomedical.github.io) 5 | * [모두의연구소 MoTLabs 블로그] [MoTLab blogs](https://motlabs.github.io/) 6 | 7 | 8 | ## 모두연 연구결과물들 9 | 10 | ### 책 (공동저자경우 모두연 연구원들은 볼드체로 표시) 11 | 12 | #### 저서 13 | * [파이썬과 케라스로 배우는 강화학습](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9791158390723&orderClick=LEA&Kc=) 14 | * **이웅원**, 양혁렬, 김건우, **이영무**, **이의령** 15 | * [딥러닝 첫걸음](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9788968487323&orderClick=LAH&Kc=) 16 | * 김성필: 강화학습 랩장 17 | * [Matlab Deep Learning](https://www.amazon.com/MATLAB-Deep-Learning-Artificial-Intelligence/dp/1484228448/ref=sr_1_3?ie=UTF8&qid=1533623753&sr=8-3&keywords=Matlab+deep+learning) 18 | * 김성필: 강화학습 랩장 19 | * [쉽고 빠르게 배우는 드론 만들기](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9788955027143&orderClick=LAH&Kc=) 20 | * 권희춘, **김승일** 소장님 21 | * [모두를 위한 컨벡스 최적화 (Convex Optimization For All)](https://wikidocs.net/book/1896) 22 | * 김기범, 김정훈, 노원종, 박진우, 윤성진, 이규복, 한영일, 황혜진 23 | 24 | #### 번역서 25 | * [이더리움과 솔리디티 입문](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9791158390907&orderClick=LEB&Kc=) 26 | * 임지순: 블록체인 랩장, 뮤직 프로세싱 랩원 27 | * [R로 만드는 추천 시스템 (김동섭, 윤병도, 김현돈, 박정현 옮김)](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9791161750309&orderClick=LEB&Kc=) 28 | * 김동섭, 윤병도, 김현돈, 박정현 29 | 30 | 33 | 34 | 35 | 36 | ## Machine Learning 37 | ### blogs 38 | * [PRML 정리](http://norman3.github.io/prml/) [홍기호 (DeepLAB 논문반)] 39 | 40 | 41 | ## Deep Learning 42 | ### slideshare 43 | * [쫄지말자 딥러닝](https://www.slideshare.net/modulabs/2-cnn-rnn) [김승일 소장님] 44 | 45 | ### github 46 | * [Everybody Tensorflow 2018](https://github.com/jwkanggist/EveryBodyTensorFlow) [강재욱 (MoT 랩장)] 47 | 48 | 49 | ## TensorFlow 50 | ### github 51 | * [풀잎스쿨 3기 Flow me to the moon 코드 정리](https://github.com/aisolab/CS20) [김보섭 (GTA, MoT)] 52 | * [풀잎스쿨 4기 Flow me to the moon 코드 정리](https://github.com/modulabs/modu-tensorflow) [모두연 풀잎4기 결과물] 53 | 54 | 55 | 56 | ## Mobile Machine Learning 57 | * [MoTLabs] [dontbeturtle proj](https://github.com/motlabs/dont-be-turtle) 58 | * [MoTLabs] [MoTLab blogs](https://motlabs.github.io/) 59 | * [MoTLabs] [iOS-Project-with-ML-Models repo](https://github.com/motlabs/iOS-Proejcts-with-ML-Models) 60 | * [MoTLabs] [MoT Tensorflow code pattern study repo](https://github.com/motlabs/mot-tf-codepattern-study) 61 | 62 | 63 | ## Computer Vision 64 | * [cs231n assignments](https://github.com/Curt-Park/cs231n_assignments) [박진우 (Convex optimization 퍼실)] 65 | 66 | 67 | 68 | ## Natural Language Processes 69 | * [tf nmt tutorial](https://github.com/HiJiGOO/tf_nmt_tutorial) [김기철 (풀잎 연구원)] 70 | 71 | 72 | ## Reinforcement Learning 73 | 74 | ### Blogs 75 | * [All about Reinforcement learning](https://wonseokjung.github.io) [정원석 (CTRL 랩장)] 76 | * [End-To-End AI](https://www.endtoend.ai) [이승재 (CTRL, Adv. RL 풀잎)] 77 | * [아타리 환경 State of the Art 모음](https://www.endtoend.ai/envs/gym/atari) [이승재 (CTRL, Adv. RL 풀잎)] 78 | * [Sutton 책 정리](https://github.com/Curt-Park/reinforcement_learning_an_introduction) [박진우 (Convex optimization 퍼실)] 79 | * [Sutton 책 정리](https://github.com/rlgosu/reinforcement2e/graphs/contributors) 80 | * [Super Mario 환경 만들기](https://medium.com/@wonseokjung_95449/강화학습으로-똑똑한-슈퍼마리오-만들기-87c423f46b05) [정원석 (CTRL 랩장)] 81 | 82 | ### Github 83 | * [All about Reinforcement learning](https://github.com/wonseokjung/ReinforcementLearning_byWonseok) [정원석 (CTRL 랩장)] 84 | * [Unity 를 사용하여 강화학습 환경 만들기](https://github.com/wonseokjung/Handmade_RL) [정원석 (CTRL 랩장)] 85 | 86 | 87 | ### Slideshare 88 | * [Running A.I.](https://www.slideshare.net/wonseokjung2/deeplearning-conf) [정원석 (CTRL 랩장)] 89 | * [rise of unity](https://www.slideshare.net/wonseokjung2/rise-of-unityml722) [정원석 (CTRL 랩장)] 90 | * [강화학습 기초, 9th KIAS CAC Summer School](https://www.slideshare.net/CurtPark1/dqn-reinforcement-learning-from-basics-to-dqn) [박진우 (Convex optimization 퍼실)] 91 | 92 | ## Generative Models 93 | * [GAN Tensorflow 구현 모음](https://github.com/ilguyi/gans.tensorflow.slim) [이일구 (모두연 research scientist)] 94 | * [GAN Tensorflow 구현 모음](https://github.com/ho4040/tf-gans) [최영 (풀잎 연구원)] 95 | 96 | 97 | 98 | ## 모두연 연구원 개인 블로그 (가나다 순) 99 | * 김보섭 연구원 (GTA, MoT) [https://aisolab.github.io](https://aisolab.github.io) 100 | * 박진우 연구원 (풀잎스쿨 Convex Optimization 퍼실) [https://curt-park.github.io](https://curt-park.github.io) 101 | * 장승환 연구원 (RLPG 랩장) [https://cveai.github.io](https://cveai.github.io) 102 | * 정원석 연구원 (CTRL 랩장) [https://wonseokjung.github.io](https://wonseokjung.github.io) 103 | 104 | ## 모두연 연구원 개인 Github (가나다 순) 105 | * 김보섭 연구원 (GTA, MoT) [https://github.com/aisolab](https://github.com/aisolab) 106 | --------------------------------------------------------------------------------