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이름: 차금강(Cha Keum Gang)
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Github : https://github.com/chagmgang
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Facebook : https://www.facebook.com/profile.php?id=100002147815509
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Email : [email protected]
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Google Scholar : https://scholar.google.com/citations?user=tLYtx20AAAAJ&hl=ko
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Linkedin : https://www.linkedin.com/in/keumgang-cha-58100b227/
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Community Activated at : RL Korea, Tensorflow-KR, Kaggle Korea
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Interested in : Remote Sensing, Computer Vision, Foundation Model, Large Scale Deep Learning Model
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Another Github : RLOpensource, AlphaStarKor
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Programming Language - Python, Javascript(Only React), Go
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Framework - Django, Tensorflow, Pytorch, React.js
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DevOps - Kubernetes, Azure Devops, Azure Pipeline
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MLOps - Airflow, Mlflow
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Server - MySQL, tensorflow_model_server
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OS - MacOS, Window, Ubuntu 16.04
With 160 A100 GPU, generating remote sensing foundation model.
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Distributional Reinforcement Learning with Quantile Regression(QR-DQN)
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Implicit Quantile Networks for Distributional Reinforcement Learning(IQN)
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IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures
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Word Embedding with tensorflow, gensim
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Document Embedding with tensorflow, gensim
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Effective Approaches to Attention-based Neural Machine Translation
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Atari Version of Generative Adverarial Imitation Learning on MoveTobeacon
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DeepMind Version of MoveToBeacon Proximal Policy Optimization
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DeepMind Version of CollectMineralShards Proximal Policy Optimization
- Make deep learning based rest api with django framework for recommendation system(search)
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(2010.03 ~ 2014.02), Pusan National University(부산대학교), Mechanical Engineering, Undergraduate
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(2014.03 ~ 2016.02), Pusan National University(부산대학교), Mechanical Engineering, Robotics, Master Degree
http://mclab.me.pusan.ac.kr/mclab/index.do
- (2016.07 ~ 2017.03), Korea Institute of Industrial Technology(한국생산기술연구원), Researcher
Development Embedded based Robotics to used as Rehabilitation robot
- (2016.10 ~ 2017.09), Korea Advanced Instituted of Science and Technology, Researcher
Development Embedded based IOT machines(Embedded Design, Programming, Data Collections)
- (2018.01 ~ 2019.12), Nerdfactory, Researcher
Development Recommandation Algorithm using Deep Learning Methodology
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(2020.01 ~ 2021.06), Satreci, Research Engineer
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(2021.06 ~ ) SI Aanalytics, Machine Learning Engineer
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Machine Learning Crash Course(구글 머신러닝 단기집중 과정) 이수
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Machine Learning with Tensorflow on Google Cloud Platform(Coursera) 이수
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SMCSPO Based Force Estimation for Jetting Rate Control of 3D Printer Nozzle to Build a House
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Reaction Force Estimation of Hydraulic Servo System Using Sliding Perturbation Observer
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Robust Control Scheme Based Reaction Force Estimation and Bilateral Control of Hydraulic Servo Robot
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A Study on Deep Learning Based Sauvegrain Method for Measurement of Puberty Bone Age
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Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering
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Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
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RAIN-F+: The data-driven precipitation prediction model for integrated weather observations
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RAIN-F: A fusion dataset for rainfall prediction using convolutional neural network
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Predicting quantitative precipitation from global precipitation measurements using deep neural networks
- 2nd, HAAFOR Challenge 2020
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2018.06 - DLCAT 1st
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2018.07 - 에이전트를 부탁해
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2018.08 - 인공지능 비즈니스 개발 컨퍼런스 2018
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2018.09 - Reinforcement Learning Korea
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2018.10 - 대덕대학교
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2018.11 - IBS
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2018.01 - Pytorch KR DevCon 2019
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2018.02 - AI friends
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2019.06 - DeepReward 101
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2019.07 - DLCAT 2nd
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2019.08 - DeepReward 101
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2019.09 - Babel TOP
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2019.11 - [공개SW개발자센터] 연합 커뮤니티 행사<Effective TensorFlow 2.0>
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2019.11 - 딥리워드(IMPALA Implementation)
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2019.12 - Global AI BootCamp in Busan
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2020.02 - 설명 가능한 인공지능 [eXplainable AI, XAI] 개발과 산업별 적용방안