Select a tag to browse associated projects and drill deeper into the tag cloud.
graphlab.org
G
Analyzed about 19 hours ago
A framework for large-scale machine learning and graph computation.
The GraphLab project started at Carnegie Mellon University in 2009 to develop a new parallel computation abstraction tailored to machine learning. GraphLab 1.0 presented our first shared memory design which, through the addition
Licenses:
No declared licenses
hattrie
H
Analyzed about 7 hours ago
This a ANSI C99 implementation of the HAT-trie data structure of Askitis and Sinha, an extremely efficient (space and time) modern variant of tries.
The version implemented here maps arrays of bytes to words (i.e., unsigned longs), which can be used to store counts, pointers, etc, or not used at
Licenses:
No declared licenses
Datumbox Machine Learning Framework
Analyzed 1 day ago
The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms & statistical tests and being able to handle medium-large sized datasets.
Licenses:
apache_2
jtwfg
J
Analyzed 1 day ago
jtwfg implements a task wait for graph model with a deadlock detection algorithm.
jtwfg is a small, standalone java library. The typical use case for someone is having some kind of own "execution engine" implementation (local, distributed, grid…) with some kind of tasks in it with optionally
Licenses:
apache_2
jtrag
J
Analyzed about 16 hours ago
jtrag is is a small, standalone java library on top of jtwfg. It adds a "task resource assignment graph" API.
The typical use case for someone is having some kind of own "execution engine" implementation (local, distributed, grid…) with some kind of tasks and resources in it, with optional
Licenses:
No declared licenses
golang-stats
G
Analyzed 1 day ago
A comprehensive Golang statistics package with many common functions missing from the standard library. Much effort was put forth to keeping 100% code coverage and having complete documentation.
Functions included:
Min, Max, Sum, Mean, Median, Mode, Sample, Round, StandardDeviation
Wendelin
Claimed by nexedi Analyzed 1 day ago
Wendelin is a Big Data/Machine Learning stack and platform combining the performance of scikit-learn machine learning with NEO distributed storage in order to provide out-of-core processing of large data sets.
hldig
Analyzed about 2 hours ago
hl://Dig is a fork of ht://Dig, a world-wide-web search system for an intranet or small internet.
Licenses:
GNU-GPLv2
pycm
Analyzed about 19 hours ago
In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is
Algos in C++
A
Analyzed about 1 hour ago
Implementation of well-known (and some rare) algorithms, mostly in C++.
Licenses:
No declared licenses