syyunn Goto Github PK
Name: Suyeol Yun
Type: User
Company: MIT
Bio: Code is accumulation of daily efforts to step forward.
Location: Cambridge, MA
Name: Suyeol Yun
Type: User
Company: MIT
Bio: Code is accumulation of daily efforts to step forward.
Location: Cambridge, MA
copy files on the command line
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Node.js CORS middleware
Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar
Cleanse the country statistics to encode the country vectors
API Service for tracking the COVID-19
WTO crawler
Create AWS Lambda using AWS CLI
Causal Reinforcement Learning
a cron library for go
Serve chrome extension back-end
Pythonic implementation of basic cryptographic functions
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
LaTex draft about reconstructing commodity-level supply chain
Fork of CUDA GPU memtest :eyeglasses:
List up CVAE papers
A Python-embedded modeling language for convex optimization problems.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
A collection of simple graphics made with D3.js
Encodings that map abstract data to visual representation.
Sequential, diverging and categorical color scales.
Transform the DOM by selecting elements and joining to data.
:boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Predict daepo-dong (ICBM of North Korea) launch schedule with former event
한국 금융감독원에서 운영하는 다트(Dart) 시스템 크롤링을 위한 라이브러리
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.