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Andrew Tulloch (@ajtulloch)

ajtulloch

Stars
2,244
Global Rank 13,623 (Top 0.5 %)
Followers 1,117
Following 113
Registered about 13 years ago
Most used languages

Python
20.5 %

Haskell
18.2 %

Julia
11.4 %

C++
9.1 %

JavaScript
6.8 %

Vim Script
4.5 %

CSS
4.5 %

Rust
4.5 %

Emacs Lisp
4.5 %

C
4.5 %

Clojure
2.3 %

R
2.3 %

TeX
2.3 %

Scala
2.3 %

Ruby
2.3 %
Location 🇺🇸 United States
Country Total Rank 4,466
Country Ranking

Haskell
36

R
189

Julia
369

Emacs Lisp
515

Scala
603

Vim Script
660

C
1,733

Python
2,184

Rust
2,363

Clojure
2,618

TeX
3,189

Ruby
4,111

CSS
7,008

C++
9,163

dnngraph

A DSL for deep neural networks, supporting Caffe and Torch

Elements-of-Statistical-Learning

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

svmpy

Basic soft-margin kernel SVM implementation in Python

sklearn-compiledtrees

Compiled Decision Trees for scikit-learn

quantcup-orderbook

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

adpredictor

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

decisiontrees

High performance implementations of gradient boosting, random forests, etc. in Go

haskell-ml

Haskell implementations of various ML algorithms.

deeplearning-hs

LaTeX2Markdown

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

SydneyUniversityMathematicsNotes

Contains lecture notes for several Sydney University advanced mathematics courses. Contributions welcomed!

admmlrspark

ADMM Logistic Regression implemented in Spark

caffe.rs

IntensityCreditModels

Code used to implement various stochastic intensity models for univariate and multivariate credit risk models.

dots

hopfield-networks

Hopfield Networks for unsupervised learning in Haskell

phabricator.el

freelearning

Isotonic.jl

sparse-ads-baselines

decisiontree-performance

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

boggle

DeepLearning.jl

mkdown.el

lrucache.cpp

NaiveBayesSpamFilter

An implementation of the Naive Bayes machine learning algorithm, applied to spam filtering

tullo-ch

tullo.ch static website content

bgess

spacemacs-tulloch

ajtulloch.github.com

Contains the Jekyll code for the old tullo.ch site

UniTables

Collaborative timetabling management for students

phash-hs

Dantzig.jl

DecisionTreePerformance.jl

tensorflow-rs

cascalog-tfidf

Cascalog implementation of TF-IDF document processing

julia-thrift

sparse

mla

lpcnet_benchmark

dotfiles

tmux, vim, bash

c-decl-parsec

Utilities

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

isotonic.cpp

DropboxChallenges

Python solutions for the Dropbox challenges