Gyeongmin Gu (Paul9615)

Paul9615

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JBNU-LIKELION-INTRO-PROJ
JBNU-MLstudy

Gyeongmin Gu's repositories

SQLD

study for certification SQLD

analysis-competition-JBNU

Submission file for Business & Economic data analysis competition at college of Commerce, Jeonbuk national university

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awesome-edge-computing

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

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CapstoneDesignProject_JBNU_ISE

2021-1 전북대 산업정보시스템공학과 종합설계

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CSE-Summary

컴퓨터 공학에서 다루는 전공 지식들의 요약집 📖

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data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

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DROO

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

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Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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GFN

The source code of Graph Fusion Network for Text Classification(GFN)

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Hands-On-ML

Hands-On Machine Learning

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Learning-Based-Queuing-Delay-Aware-Task-Offloading-in-Collaborative-Vehicular-Networks

Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks

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machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

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Partial-Computation-Offloading-For-MEC

基于深度强化学习的部分计算任务卸载延迟优化

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

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SBGNN

source code for signed bipartite graph neural networks(CIKM 2021)

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SixSigma_jbnu

Six sigma in JBNU ISE, 2020 2nd semester

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SOTA-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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STAWnet

An end-to-end deep learning model for spatial-temporal prediction

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study_JS

JS study for web development with open tutorial

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tutorial-git

:blue_book: 어떻게 깃을 사용하는지 빠르게 알아봅시다. (Quick learn How to use Git.)

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v

Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. https://vlang.io

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