Software development for "Bayesian nonparametric population inference". In other words, just the direct application of probability theory to get the most general, principled, model-free inference we can have.

Emulation of the Galton board in python.The normal distribution.Pygame+Pymunk

Material for course ADA511 at HVL

Material for course ADA511 at HVL

A math resource for CS student

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Clean Random Events for Probabilistic Reasoning in Python

This the template of my webpage

📔 This repository is for storing my Higher Mathematics learning journey

Extensive learning notes on mathematics

Workspace for applied problems of probability theory & mathematical statistics class

Comprehensive resources for data science interview preparation: assignments, math problems, logic tasks, live coding examples, and leetcode breakdowns.

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

An open-source toolkit for entropic data analysis

Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.

Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto

Rust for data analysis encyclopedia (WIP).

My personal notes for learning about programming and math (in particular statistics). So far it's mostly just my solutions to book exercises, maybe I'll write up some things later on. This repo consists of my studying after leaving university, I won't upload the notes from before that.

Engine that provides useful features regarding probabilities concepts