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Muhyun Kim's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

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

autogluon icon autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

caffe icon caffe

Caffe: a fast open framework for deep learning.

d2l-en icon d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

d2l-en2kr icon d2l-en2kr

EN2KR on D2L - English-Korean paragraph by paragraph

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepercluster icon deepercluster

Implements the unsupervised pre-training of convolutional neural networks

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-gtc2019 icon dgl-gtc2019

Materials for DGL Instructor-led training at GTC 2019

distance-assistant icon distance-assistant

Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed

drl-workshop icon drl-workshop

Korean translation in progress of https://github.com/aws-samples/aws-deepracer-workshops/tree/master/Workshops/2019-AWSSummits-AWSDeepRacerService/Lab1

explainerdashboard icon explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

grover icon grover

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

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