cathy-kim Goto Github PK

gtop

CPU, GPU and memory viewer utilizing information provided by tegrastats

hotsourcecms

hpontx2

High performance Object Detection on Embedded Board(TX2)

image-classification-transfer-learning

Retraining Google Inception V3 model to perform custom Image Classification.

imageaugmentationtypes

Few of the essential image augmentation techniques.

introductiontoalgorithmproblemsolvingtechniques

구름EDU 알고리즘 문제해결기법 입문 과목의 답안 코드집입니다.

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

kkeunma-rit-gi-d

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

kubernetes-training-answers

Answer key for my Kubernetes for Beginners Course on Udemy

label-tool

Web application for image labeling and segmentation

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine-learning-systems-design

A booklet on machine learning systems design with exercises

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

med2image

심심해서 만드는 CLAHE 모듈 from Converts medical images to more displayable formats, e.g. NIfTI to jpg.

medical-image-analysis-ipython-tutorials

miccai17-mmwhs-hybrid

If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-lightning-template

PyTorch Lightning Template

mlbasic

모두를위한머신러닝basic code

mlops-example

Tensorflow 2.0 + Sacred + AI Platform + Optuna

ml_swe

For Machine Learning SWE

mmwhs

Multi Modal Whole Heart Segmentation, MICCAI'2017 Challenge

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mnnkit

MNNKit is a collection of AI solutions for mobile developers, powered by MNN engine.

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

moderncpp

monodepth

Unsupervised single image depth prediction with CNNs

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

my_notebook-

image search by inception v3