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followers: 37.0 following: 97.0 repos: 335.0 gists: 33.0

Name: Kim Namu (Kim Nam Woo)

Type: User

Company: Unity Technologies

Bio: "성장을 방해하는 가장 큰 적은 편안함"

Hi, there 👋

I'm a Software Engineer specializing in the Industrial Applications of Real-Time 3D. My goal is to bridge and implement across various industries. 😄

Working in Digital Twin environments, I now focus on connecting and implementing Unity in diverse industrial contexts, moving beyond my previous expertise in Computer Vision, Sensor Fusion, and Machine Learning.
My current interests include Industrial Simulation with Unity, Integrating Unity in Multi-Camera Systems, and Managing Multi-Robot Systems.

: 등등.. 주로 이런 것들을 다루고 있습니다.

Goals for 2024

Speak Loudly!

Self-Worth and Confidence: I am worthy and deserving of my position. It's time to speak my mind without excessive filtering, proudly and confidently, acknowledging my hard work and accomplishments.
Skill Set:
1. Public Speaking: Enhancing my ability to communicate ideas clearly and confidently in public settings.
2. Assertive Communication: Developing skills to express my thoughts and opinions strongly and respectfully.
3. Leadership: Fostering leadership skills that emphasize confidence and decision-making.

Here I stand.

status

	skill	~2023	2024
Unity	DOTS, ECS	*	go expert
Simulator	Sim/Gym	*****	go expert
Embedded board	nvidia jetson, etc.	******	*******
Robot	ROS, SLAM	*****	*******

다 쳐내고 다 버리고 나, 사랑하는 사람, 그리고 내가 원하는 단 한가지에만 집중하자

Kim Namu (Kim Nam Woo)'s Projects

-training-an-object-detection-model-with-tensorflow-api-using-google-colab

Follow my medium post for the tutorial. https://medium.com/analytics-vidhya/training-an-object-detection-model-with-tensorflow-api-using-google-colab-4f9a688d5e8b

022_my_projects_code

coding

100-days-of-ml-code

100 Days of ML Coding

2019-6thd2cf-image-cluster

3dayexamples

6th

http://d2campusfest.kr/6th/

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

academy.alzza

교재 연습을 위한 자료를 다운받으실 수 있습니다.

adlab-e2e

The code repository of ADLab End-to-End team

adp

데이터 분석 자격증 공부하기

adventures-in-tensorflow-lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

ai-speech

ai-vision

ai_developers_day_2019

this repository is for the NVIDIA AI Developers Day 2019 at South Korea

airc-rl-agent

AI RC Car Agent that using deep reinforcement learning on Jetson Nano

algorithm_training

코딩연습

algorithmic-toolbox

This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.