leechunghyun Goto Github PK

006939

2019-

2019-2학기 기계학습 과목 조별 레포트

2019-_ai-

2019 2학기 인공지능 self study project

2020_computer_programming

20학번 컴퓨터 프로그래밍 실습자료

ai-with-emotion

Create AI (Artificial Intelligence) Emotions with Text Recognition and Machine Learning

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cnn-quantization

Quantization of Convolutional Neural networks.

computer-vision

data_augmentation_yolov3

In machine learning, sometimes we need more data to train models. In this code, i made data augmentation code in python when using the yolov3 network.

gan-using-mnist_data

This is a practice to make Generative Adversial Network by using google colab.

hufs_capstone

HUFS Capstone Project / Self_Checkout_Platform

interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

junior-recruit-scheduler

주니어 개발자 채용 정보

leechunghyun

mobilenet-pytorch

Implementation of MobileNet V1, V2, V3

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

openvino_training_extensions

Trainable models and NN optimization tools

parsing-xml_to_yolo

Python code for parsing xml to yolo format in data augmentation

perception-for-self-driving

Perception algorithms for Self-driving car

programmers_coding_practice

코딩 테스트 연습하기(자료구조, 알고리즘 Remind시키자ㅠㅠ)

prography-6th-deep-leechunghyun

scrapy-seminar

seam-carving

Seam Carving for Content Aware Image Resizing

self_study_algorithm

감 잃지 않기 위한 나의 Toy Project...겸사겸사...시간 날때마다..

system-programming

self study for system programming and computer architecture

tech-interview-for-developer

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

tensorflow

Deep Learning Zero to All - Tensorflow

tensorflow2-cookbook

Simple Tensorflow 2.x Cookbook for easy-to-use

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yowo

You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization