ajtulloch/decisiontree-performance ajtulloch/decisiontree-performance

  • Stars
    star
    7
  • Rank 2,294,772 (Top 46 %)
  • Language
    C++
  • Created almost 11 years ago
  • Updated almost 11 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ajtulloch/decisiontree-performance
github

ajtulloch

Reviews

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

Repository Details

C++ code examining decision tree evaluation strategies, accompanying tullo.ch/articles/decision-tree-evaluation/

More Repositories

1

dnngraph

A DSL for deep neural networks, supporting Caffe and Torch
Haskell
697
star
2

Elements-of-Statistical-Learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
R
291
star
3

svmpy

Basic soft-margin kernel SVM implementation in Python
Python
244
star
4

sklearn-compiledtrees

Compiled Decision Trees for scikit-learn
Python
224
star
5

quantcup-orderbook

Fast C++ adaptation of the QuantCup (http://www.quantcup.org/) limit order book.
C
129
star
6

adpredictor

A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python
Python
90
star
7

decisiontrees

High performance implementations of gradient boosting, random forests, etc. in Go
JavaScript
60
star
8

haskell-ml

Haskell implementations of various ML algorithms.
Haskell
56
star
9

deeplearning-hs

Haskell
53
star
10

LaTeX2Markdown

An AMS-LaTeX compatible converter that maps a subset of LaTeX to Markdown/MathJaX.
Python
39
star
11

SydneyUniversityMathematicsNotes

Contains lecture notes for several Sydney University advanced mathematics courses. Contributions welcomed!
Ruby
34
star
12

admmlrspark

ADMM Logistic Regression implemented in Spark
Scala
32
star
13

caffe.rs

Rust
23
star
14

IntensityCreditModels

Code used to implement various stochastic intensity models for univariate and multivariate credit risk models.
Python
21
star
15

dots

Vim Script
17
star
16

hopfield-networks

Hopfield Networks for unsupervised learning in Haskell
Haskell
16
star
17

phabricator.el

Emacs Lisp
14
star
18

freelearning

Haskell
11
star
19

Isotonic.jl

Julia
10
star
20

sparse-ads-baselines

Python
8
star
21

boggle

Haskell
5
star
22

DeepLearning.jl

Julia
5
star
23

mkdown.el

CSS
4
star
24

lrucache.cpp

C++
3
star
25

NaiveBayesSpamFilter

An implementation of the Naive Bayes machine learning algorithm, applied to spam filtering
Python
3
star
26

tullo-ch

tullo.ch static website content
TeX
2
star
27

bgess

C++
2
star
28

spacemacs-tulloch

Emacs Lisp
2
star
29

ajtulloch.github.com

Contains the Jekyll code for the old tullo.ch site
JavaScript
2
star
30

UniTables

Collaborative timetabling management for students
JavaScript
1
star
31

phash-hs

Haskell
1
star
32

Dantzig.jl

Julia
1
star
33

DecisionTreePerformance.jl

Julia
1
star
34

tensorflow-rs

Rust
1
star
35

cascalog-tfidf

Cascalog implementation of TF-IDF document processing
Clojure
1
star
36

julia-thrift

Julia
1
star
37

sparse

1
star
38

mla

CSS
1
star
39

lpcnet_benchmark

C
1
star
40

dotfiles

tmux, vim, bash
Vim Script
1
star
41

c-decl-parsec

Haskell
1
star
42

Utilities

Contains Python code for various simple and not-so-simple algorithms.
Python
1
star
43

isotonic.cpp

C++
1
star
44

DropboxChallenges

Python solutions for the Dropbox challenges
Python
1
star