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Logo Pynopticon 0.1

by Wiecki - February 1, 2009, 18:55:10 CET [ Project Homepage BibTeX Download ] 3308 views, 938 downloads, 1 subscription

About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...]

Changes:

Initial Announcement on mloss.org.


Logo Pyriel 1.5

by tfawcett - October 27, 2010, 09:12:53 CET [ BibTeX BibTeX for corresponding Paper Download ] 10369 views, 2229 downloads, 1 subscription

About: Pyriel is a Python system for learning classification rules from data. Unlike other rule learning systems, it is designed to learn rule lists that maximize the area under the ROC curve (AUC) instead of accuracy. Pyriel is mostly an experimental research tool, but it's robust and fast enough to be used for lightweight industrial data mining.

Changes:

1.5 Changed CF (confidence factor) to do LaPlace smoothing of estimates. New flag "--score-for-class C" causes scores to be computed relative to a given (positive) class. For two-class problems. Fixed bug in example sampling code (--sample n) Fixed bug keeping old-style example formats (terminated by dot) from working. More code restructuring.


Logo pySPACE 1.0

by krell84 - August 23, 2013, 21:00:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1394 views, 333 downloads, 1 subscription

About: --Signal Processing and Classification Environment in Python using YAML and supporting parallelization-- pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface.

Changes:

First release. Initial Announcement on mloss.org.


Logo PyStruct 0.2

by t3kcit - July 9, 2014, 09:29:23 CET [ Project Homepage BibTeX Download ] 1290 views, 386 downloads, 1 subscription

About: PyStruct is a framework for learning structured prediction in Python. It has a modular interface, similar to the well-known SVMstruct. Apart from learning algorithms it also contains model formulations for popular CRFs and interfaces to many inference algorithm implementation.

Changes:

Initial Announcement on mloss.org.


Logo Python Robotics 5.0.0

by dsblank - January 22, 2008, 20:25:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5440 views, 1110 downloads, 1 subscription

About: The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of [...]

Changes:

Initial Announcement on mloss.org.


Logo python weka wrapper 0.1.8

by fracpete - June 26, 2014, 02:38:12 CET [ Project Homepage BibTeX Download ] 2589 views, 502 downloads, 2 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • fixed installer: MANIFEST.in now includes CHANGES.rst and DESCRIPTION.rst as well

Logo Quasi Dense Matching 1.0.0

by openpr_nlpr - December 2, 2011, 04:44:19 CET [ Project Homepage BibTeX Download ] 1116 views, 332 downloads, 1 subscription

About: This program is used to find point matches between two images. The procedure can be divided into two parts: 1) use SIFT matching algorithm to find sparse point matches between two images. 2) use "quasi-dense propagation" algorithm to get "quasi-dense" point matches.

Changes:

Initial Announcement on mloss.org.


Logo QuickDT 0.1

by sanity - September 21, 2011, 13:43:37 CET [ Project Homepage BibTeX Download ] 2002 views, 598 downloads, 1 subscription

About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use

Changes:

Initial Announcement on mloss.org.


Logo r-cran-ahaz 1.14

by r-cran-robot - June 3, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 4305 views, 941 downloads, 0 subscriptions

About: Regularization for semiparametric additive hazards regression

Changes:

Fetched by r-cran-robot on 2014-07-01 00:00:03.834643


Logo r-cran-arules 1.1-3

by r-cran-robot - June 17, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 12505 views, 2583 downloads, 2 subscriptions

About: Mining Association Rules and Frequent Itemsets

Changes:

Fetched by r-cran-robot on 2014-07-01 00:00:03.926443


Showing Items 341-350 of 535 on page 35 of 54: First Previous 30 31 32 33 34 35 36 37 38 39 40 Next Last