DSP.jl by JuliaDSP

Filter design, periodograms, window functions, and other digital signal processing functionality

created at Nov. 27, 2013, 11:35 p.m.

Julia

30 +0

381 +0

109 -1

GitHub
kixi.stats by MastodonC

A library of statistical distribution sampling and transducing functions

created at Dec. 9, 2015, 10:31 a.m.

Clojure

31 +0

361 +0

18 +0

GitHub
Recommender by GHamrouni

A C library for product recommendations/suggestions using collaborative filtering (CF)

created at Jan. 4, 2012, 10:40 a.m.

C

31 +0

264 +0

64 +0

GitHub
Petrel by AirSage

Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

created at July 18, 2012, 1:12 p.m.

Python

31 +0

247 +0

70 +0

GitHub
regression-js by Tom-Alexander

Curve Fitting in JavaScript.

created at Jan. 5, 2013, 9:53 a.m.

JavaScript

31 +0

940 +0

131 +0

GitHub
comportex by htm-community

Hierarchical Temporal Memory in Clojure

created at March 29, 2014, 1:39 a.m.

Clojure

31 +0

153 +0

27 +0

GitHub
pynlpl by proycon

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

created at July 6, 2010, 11:42 a.m.

Python

31 +0

479 +0

67 +0

GitHub
Pyevolve by perone

Pyevolve

created at Aug. 10, 2011, 11:41 p.m.

Python

32 +0

315 +1

108 +1

GitHub
eaopt by MaxHalford

four leaf clover Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

created at Jan. 31, 2016, 12:04 a.m.

Go

32 +0

889 +1

96 +0

GitHub
ThinkOS by AllenDowney

Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.

created at March 19, 2014, 2:10 p.m.

TeX

33 +0

554 +1

223 +0

GitHub
AutoViz by AutoViML

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

created at July 17, 2019, 5:14 p.m.

Python

33 +0

1,730 +3

200 +0

GitHub
SOMPY by sevamoo

A Python Library for Self Organizing Map (SOM)

created at Aug. 24, 2014, 12:06 p.m.

Jupyter Notebook

33 +0

535 -1

242 +0

GitHub
sklearn-bayes by AmazaspShumik

Python package for Bayesian Machine Learning with scikit-learn API

created at July 30, 2015, 3:15 a.m.

Jupyter Notebook

33 +0

514 +1

118 +0

GitHub
awesome-CoreML-models by SwiftBrain

Collection of models for Core ML

created at June 8, 2017, 5:36 a.m.

Unknown languages

33 +0

572 +1

63 +0

GitHub
enlighten-integration by sassoftware

Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R.

created at April 9, 2015, 8:36 p.m.

Java

34 +0

60 +0

51 +0

GitHub
kaggle-galaxies by benanne

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

created at April 15, 2014, 10:14 a.m.

Python

34 +0

494 +0

183 +0

GitHub
swix by stsievert

Swift Matrix Library

created at June 11, 2014, 3:25 p.m.

C++

34 +0

593 +0

54 +0

GitHub
bayesian by jbrukh

Naive Bayesian Classification for Golang.

created at Nov. 23, 2011, 4:17 a.m.

Go

34 +0

805 +1

128 +0

GitHub
pybroker by edtechre

Algorithmic Trading in Python with Machine Learning

created at Jan. 16, 2023, 1:11 a.m.

Python

34 +0

2,062 +15

256 +1

GitHub
dfdx by coreylowman

Deep learning in Rust, with shape checked tensors and neural networks

created at Oct. 12, 2021, 2:58 a.m.

Rust

34 +1

1,737 +4

98 +0

GitHub