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
Self-study on Larry Wasserman's "All of Statistics"
Pythonic implementation of "An Introduction to the Conjugate Gradient Method Without the Agonizing Pain (Shewchuk, 1994)"
angular-d3-talk
ANNdotNET - deep learning tool on .NET Platform.
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Anomaly detection related books, papers, videos, and toolboxes
A Lucene toolkit for replicable information retrieval research
general information regarding antidumpings
Package for defining computation graphs and performing intervention experiments
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Build, deploy, and manage AWS Lambda functions with ease.
Implements "Application of Probabilistic Graphical Models in Forecasting Crude Oil Price (Danish, 2018)"
Apprenticeship Learning with Inverse Reinforcement Learning
The Arcade Learning Environment (ALE) -- a platform for AI research.
ARCH models in Python
Argument Mining manual annotation of judgments of the European Court on Human Rights
Pythonic implementation of ARIMA (Autoregressive integrated moving average)
Assorted literatures on "Representational Power of Neural Network"
:gem: A fast, open source text processor and publishing toolchain, written in Ruby, for converting AsciiDoc content to HTML 5, DocBook 5, and other formats.
A generic Monte Carlo method based on the Gumbel-Max trick.
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Augur - Prediction Market Protocol and Client
AutoML for causal inference.
Replication of "Auto-Encoding Variational Bayes" (Kingma & Welling, 2013)
Efficiently computes derivatives of numpy code.
Technical sketch of how to build a automated db updating system : API Provider, Our-Server and DB Schema that needs to be added/updated w/ certain Interval
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.