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alfred-sublime

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

bayeshistogram.jl

pure Julia package for optimal histogram binning, based on piecewise constant model.

bayesian-julia

Bayesian Statistics using Julia and Turing

bayesian-statistics

This repository holds slides and code for a full Bayesian statistics graduate course.

blazorai

A Blazor web app developed to explore the use of Genetic Algorithms for solving problems.

build.bat

build.bat build system for Sublime Text

chainladder

Claims reserving models in R

chainladder-python

Actuarial reserving in Python

changepointdetection.jl

Julia implementation of the LSDD change point detection method.

changepoints.jl

A Julia package for the detection of multiple changepoints in time series.

cky-parser

A Python implementation of the CKY algorithm for generating parse trees, given a CFG (in almost-CNF) and a sentence.

claim_sim

concreteinterfaces.jl

container-tunnel

A Docker container running VSCode's Remote Tunnel

course_notes

Course notes for the University of Waterloo

dailyorganizer

Sublime Text plugin for basic note taking organization

danthomas

Dan Thomas' stuff

draft.jl

A small package to automatically create temporary environments in offline mode.

econ-fall-2022

Materials for PhD level structural econometrics course

exp_mixture_model

Maximum likelihood estimation and model selection of the exponential mixture model (i.e., mixture of exponential distributions)

faslr

Free Actuarial System for Loss Reserving

fieldguide

Field Guide to Continuous Probability Distributions by Gavin E. Crooks

financialtheorymsc

Financial Theory Course (MSc, Julia code)

fitnesstracker

A Genie.jl based Fitness Tracker to track my weight lifting and running

formatting.jl

A Julia package to provide Python-like formatting support

foxesandrabbits

genetic-algorithms

This repository belongs to the youtube videos "What are Genetic Algorithms" (https://youtu.be/uQj5UNhCPuo) and "Genetic Algorithm from Scratch in Python" (https://youtu.be/nhT56blfRpE). If you haven't seen it, please consider watching part one of this series, to get a better understanding of this code.

genieexperiments.jl

Experiments with Genie

glm

Notes on generalized linear models