jeongho Goto Github PK
Name: Jeongho Park
Type: User
Bio: MAB player
Location: Deception Island, Antarctica
Name: Jeongho Park
Type: User
Bio: MAB player
Location: Deception Island, Antarctica
Set up a personal VPN in the cloud
Code for my book on Multi-Armed Bandit Algorithms
Bayesian Data Analysis demos for Python
Apache Calcite
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Example of using Cloudera Manager API to create a Flume Service and set Flume Agent config
Cloudera Manager API Client
Experimentation for Engineers (Manning, 2023)
Introduction to Empirical Bayes: Examples from Baseball Statistics
Example models for Stan
Hue Editor: Open source SQL Query Assistant for Databases/Warehouses
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
A little tool to play with Windows security
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Leaked Mirai Source Code for Research/IoC Development Purposes
A web-based Heroku and Heroku Connect, Getting Started experience
A numeric optimization package for Torch.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
PyMC3 educational resources
A short guide on features of Python 3 with examples (updated for python 3.7)
Tutorials and programming exercises for learning Q# and quantum computing
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.
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.