Tim Menzies (@timm)
github

timm

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Top repositories

1

sbse14

search-based software engineering
Python
16
star
2

lawker

Automatically exported from code.google.com/p/lawker
HTML
9
star
3

lisp

Some of my lisp tricks
Common Lisp
4
star
4

shortr

A little lab of learning algorithms (in LUA). Less XAI, but better
HTML
4
star
5

Research

Python
3
star
6

axe

axe
Python
2
star
7

luamine

data mining and optimization
Lua
2
star
8

sublime

S.U.B.L.I.M.E. = Sublime's unsupervised bifurcation: let's infer minimal explanations.
Python
2
star
9

rag

2
star
10

ourmine

Automatically exported from code.google.com/p/ourmine
Common Lisp
1
star
11

tested

The best way to test "it" is to watch someone else try to break "it".
Lua
1
star
12

luatips

best tricks for lua
1
star
13

ish

(Some (useful (ish)) LISP)
Common Lisp
1
star
14

timm.github.io

my web site
HTML
1
star
15

l5

A lean little learning library, in LUA.
HTML
1
star
16

py

Misc python packages (one per subdirectory)
Python
1
star
17

gold

Adds to Gawk objects, methods, polymorphism, encapsulation, inheritance, unit tests, auto-documentation, data mining tools.
Awk
1
star
18

coffee-mine

Code from "learn.coffee: () => @CoffeScript.newbie.diary and task is "build data miners"
CoffeeScript
1
star
19

lunatic

Exploring space, one data set at a time (using data mining and optimization)
MoonScript
1
star
20

dart

optimizing = cluster + contrast
Lua
1
star
21

NSF22-advice--2023

TeX
1
star
22

bnbad2

Optimizer, written as a data miner. Break the data up into regions of 'bad' and 'better'. 'Interesting' things occur at very different frequencies in 'bad' and 'better'. Find interesting bits. Combine them. Repeat. Nearly all this processing takes log linear time.
HTML
1
star
23

ezr

Explanation system for semi-supervised multi-objective optimization
Lua
1
star