timm/Research

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Python
Created over 9 years ago
Updated about 2 years ago

timm/Research

timm

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

sbse14

search-based software engineering

lawker

Automatically exported from code.google.com/p/lawker

lisp

Some of my lisp tricks

shortr

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

axe

luamine

data mining and optimization

sublime

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

rag

ourmine

Automatically exported from code.google.com/p/ourmine

tested

The best way to test "it" is to watch someone else try to break "it".

luatips

best tricks for lua

ish

(Some (useful (ish)) LISP)

timm.github.io

l5

A lean little learning library, in LUA.

py

Misc python packages (one per subdirectory)

gold

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

coffee-mine

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

lunatic

Exploring space, one data set at a time (using data mining and optimization)

dart

optimizing = cluster + contrast

NSF22-advice--2023

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.

ezr

Explanation system for semi-supervised multi-objective optimization