yonghyeokrhee Goto Github PK

algorithm-local

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

amazon-sagemaker-script-mode

Amazon SageMaker Script Mode examples

anomaly_detection_sagemaker

aws

aws-ai-ml-workshop-kr

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

aws_utils

useful utilities fro aws

basic-algo-lecture

바킹독의 실전 알고리즘 강의 자료

bert-korean-model

BERT with SentencePiece for Korean text

bert4rec-vae-pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

big_stone_algorithm

study group diverge

build2020-webinar-reference

censreg

:exclamation: This is a read-only mirror of the CRAN R package repository. censReg — Censored Regression (Tobit) Models. Homepage: http://www.sampleSelection.org Report bugs for this package: http://r-forge.r-project.org/projects/sampleselection/

churn_prediction

with public data

deep-youtube-recommendations

Implementation of Youtube Recommendations Using Deep Learning

deepleaning_scratch

deep leaning from scratch 2

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

fin_eng

graph-neuralnet

harmonize-search-analyze

Code samples related to "Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS" (https://aws.amazon.com/blogs/big-data/harmonize-search-and-analyze-loosely-coupled-datasets-on-aws/) published on the Big Data Blog

imageprep

boundinbox and etc.

introduction_to_ml_with_python

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

ipyleaflet

A Jupyter - Leaflet.js bridge

jekyll-theme-next

Elegant theme for Jekyll.

knowledgeextraction

Knowledge Extraction System

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mis381n-stochastic-control-and-optimization

Assignments for UT Austin's MIS391N Stochastic Control & Optimization class

mlguide

<알고리즘 중심의 머신러닝 가이드(제2판)> 리포지토리

musthavego