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97-things-every-programmer-should-know

Pearls of wisdom for programmers collected from leading practitioners.

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

aoc.jl

Codes for Advent of Code

aoc2021.jl

Solutions to Advent of Code 2021 in Julia

aoc2022.jl

Solutions of Advent of Code 2022 in Julia

bayesnets.jl

Bayesian Networks for Julia

bitesofpy

blackboxoptim.jl

Black-box optimization for Julia

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

ecosystem.jl

Educational project, part of Scientific Computing in Julia course at the Czech Technical University

evolution

Introduction to Evolutionary Computation class

evolution.jl

Evolutionary Computation in Julia

evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

evolutionary.jl

Evolutionary & genetic algorithms for Julia

ffx

Fast Function Extraction

gin

GI in No Time - a Simple Microframework for Genetic Improvement

grammaticalevolution

Grammatical Evolution package for Julia.

julia-workshop

JuliaCon 2022 - Introduction to Julia Tutorial

lpproj

Scikit-learn compatible Locality Preserving Projections in Python

machine-learning

A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.

minesweeper

Terminal minesweeper in Python

minimal

Minimal is a Jekyll theme for GitHub Pages

modernpython

Sample code for the video course: Modern Python: Big Ideas, Little Code

moe

A global, black box optimization engine for real world metric optimization.

petrposik.github.io

point-location

Kirkpatrick's Algorithm for Log(n) point location in planar subdivisions.

pokus

To je jen pokus

pppylox

Lox interpretter written in Python. Modelled by jlox, Java Lox interpretter, from Crafting Interpreters book by Robert Nystrom.

practical-python

Practical Python Programming (course by @dabeaz)