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Name: Young Seok Tony Kim
Type: User
Bio: M.S. Data Science, Univ. of Washington B.S. Computer Science, KAIST
Location: Daejeon, South Korea
Name: Young Seok Tony Kim
Type: User
Bio: M.S. Data Science, Univ. of Washington B.S. Computer Science, KAIST
Location: Daejeon, South Korea
Tony Kim's development settings
Algorithm Study
2015 ARA Project
Iterated Prisoner's Dilemma Tournament for Complexity Science Fall 2017
2018 Spring CSProject - Sobriety Inspector by 김영석 / 김재헌 / 박재준
University of Washington 2020 Fall DATA512: Human-Centered Data Science
Final project for DATA 512 - Human Centered Data Science
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Temporary repository to work on PyTorch tutorial
TensorFlow documentation
This is the base repository for the gene-finder mini project.
Gluon CV Toolkit
A complete daily plan for studying to become a Google software engineer.
2016 Fall Haskell-study. Follows UPenn CIS 194: Introduction to Haskell course
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
IP_Toy project for SPARCS (2015 Fall Hackathon)
This is an implementation of K-SVD algorithm which is used to learn a sparse dictionary representations combining K-means clustering algorithm with SVD algorithm
Introduction to Open Source Software class @ KAIST 2015
This repository contains LLVM Korean Documentation
Repository for Machine Learning Challenge 2017 Online round
Monitor your machine's learning progress in real-time and get notification for finished learning!
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Project Euler
Unofficial Implementation of "Pelee: a real-time object detection system on mobile devices"
This is an example of how to set up a portfolio site with a minimal amount of coding!
This is an unofficial implementation of "Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables" by Sourav Bhattacharya and Nicholas D. Lane
The Swift Programming Language
Computation using data flow graphs for scalable machine learning
Book and code for Think Complexity, 2nd edition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.