Minsoo Kang (3neutronstar)

3neutronstar

Geek Repo

Company:Korea Institute of Science and Technology

Location:Seoul, Korea

Home Page:minsoo.kang0918@gmail.com

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Organizations
kdst-team

Minsoo Kang's repositories

rl-constraints-traffic

Decentralized Deep Reinforcement Learning based Real-World Applicable Traffic Signal Optimization

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flow_RL

Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle

sumo-continuous-selfdriving

Reinforcement Learning based autonomous driving system connected with edge-cloud

ACGAN-PyTorch

Unofficial Auxiliary Classifier GAN implementation (based on https://github.com/clvrai/ACGAN-PyTorch)

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traffic-optimization_RL

Deep Reinforcement Learning based traffic-control

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CIL-Zoo

Class Incremental Learning (iCaRL, EEIL, BiC) reproduce github repository.

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criminal-cargo-detection

2021 한국 관세청 우범화물 탐지 경진대회 수상작 F1 51.0251 (1st prize)

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flow-autonomous-driving

RL based simulation

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GuidedMixup

Official PyTorch implementation of "GuidedMixup An Efficient Mixup Strategy Guided by Saliency Maps" (AAAI'23 Oral)

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DHP

Digital Health Hackathon 2021, Korea 수상작(1st prize)

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AlwaysBeDreaming-DFCIL

PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

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caltech-pedestrian-dataset-converter

Updated version of "Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB"

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cython_bbox

standalone cython_bbox borrowed from faster-rcnn

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eswContest

This project is an image processing autonomous driving model car.

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handson-ml

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

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imagenet-autoencoder

AutoEncoder trained on ImageNet

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knowledge-distillation

Knowledge Distillation

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Lightweight-Segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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ml_benchmark_classification

Pruning, MTL, MOO benchmark repository

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odin

A simple and effective method for detecting out-of-distribution images in neural networks.

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openpose-based-tracking

Openpose(CVPR 2017) and Appearance-based-Tracking(CVPR2020)

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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signal-processing

communication system

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