Pinned Repositories
algo
Set up a personal VPN in the cloud
Mirai-Source-Code
Leaked Mirai Source Code for Research/IoC Development Purposes
optim
A numeric optimization package for Torch.
ray
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.
jeongho's Repositories
jeongho/ubuntu20.04
jeongho/algo
Set up a personal VPN in the cloud
jeongho/Mirai-Source-Code
Leaked Mirai Source Code for Research/IoC Development Purposes
jeongho/optim
A numeric optimization package for Torch.
jeongho/ray
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.
jeongho/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
jeongho/BDA_py_demos
Bayesian Data Analysis demos for Python
jeongho/calcite
Apache Calcite
jeongho/centos6
jeongho/centos7
jeongho/cm-api-flume-example
Example of using Cloudera Manager API to create a Flume Service and set Flume Agent config
jeongho/e4e
Experimentation for Engineers (Manning, 2023)
jeongho/empirical-bayes-book
Introduction to Empirical Bayes: Examples from Baseball Statistics
jeongho/example-models
Example models for Stan
jeongho/Kalman-and-Bayesian-Filters-in-Python
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.
jeongho/keras_snli
Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
jeongho/mimikatz
A little tool to play with Windows security
jeongho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
jeongho/ml-in-scala
jeongho/no-local-dev-getting-started
A web-based Heroku and Heroku Connect, Getting Started experience
jeongho/postgres-operator
Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
jeongho/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
jeongho/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
jeongho/pymc-resources
PyMC3 educational resources
jeongho/python3_with_pleasure
A short guide on features of Python 3 with examples (updated for python 3.7)
jeongho/spark-knowledgebase
Spark Knowledge Base
jeongho/stat_rethinking_2022
Statistical Rethinking course winter 2022
jeongho/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
jeongho/timefold-quickstarts
Planning optimization made easy. Get started with Timefold Solver here.
jeongho/wonderland
Alice in Wonderland