Andrew Tulloch

dnngraph. A DSL for deep neural networks, supporting Caffe and Torch

709

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

289

svmpy. Basic soft-margin kernel SVM implementation in Python

261

sklearn-compiledtrees. Compiled Decision Trees for scikit-learn

230

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

211

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

92

CambridgeMathematicsPartIII. TeX

70

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

62

haskell-ml. Haskell implementations of various ML algorithms.

59

LaTeX2Markdown. An AMS-LaTeX compatible converter that maps a subset of LaTeX to Markdown/MathJaX.

57

roogle. Rust API search engine

56

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

56

deeplearning-hs. Haskell

54

admmlrspark. ADMM Logistic Regression implemented in Spark

32

caffe.rs. Rust

24

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

21

dots. Vim Script

19

hopfield-networks. Hopfield Networks for unsupervised learning in Haskell

16

caffe. Caffe: a fast open framework for deep learning.

14

phabricator.el. Emacs Lisp

14

freelearning. Haskell

11

Isotonic.jl. Julia

11

sparse-ads-baselines. Python

10

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

7

boggle. Haskell

5

tvm. Open deep learning compiler stack for cpu, gpu and specialized accelerators

5

DeepLearning.jl. Julia

5

mkdown.el. CSS

4

bgess. C++

3

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

3

lrucache.cpp. C++

3

tullo-ch. tullo.ch static website content

2

sparse.

2

ajtulloch.github.com-archive. Contains the Jekyll code for the old tullo.ch site

2

gemmlowp. Low-precision matrix multiplication

2

spacemacs-tulloch. Emacs Lisp

2

ATen. ATen: A TENsor library for C++11

1

XNNPACK. High-efficiency floating-point neural network inference operators for mobile and Web

1

napkin. An Infinitely Large Napkin

1

dagster. Dagster: A programming model for data applications.

1

pybind11. Seamless operability between C++11 and Python

1

NNPACK. Acceleration package for neural networks on multi-core CPUs

1

tensorflow. Computation using data flow graphs for scalable machine learning

1

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

1

lpcnet_benchmark. C

1

mkl-dnn. Deep Neural Network Library (DNNL)

1

torchrec. Pytorch domain library for recommendation systems

1

uv. An extremely fast Python package and project manager, written in Rust.

1

natural. general natural language facilities for node

1

fb-caffe-exts. Some handy utility libraries and tools for the Caffe deep learning framework.

1

UniTables. Collaborative timetabling management for students

1

d3-tip. Simple text-based tooltips for d3.js

1

mla. CSS

1

cascalog-tfidf. Cascalog implementation of TF-IDF document processing

1

julia-thrift. Julia

1