AI::Perceptron - example of a node in a neural network. River stage zero No dependents

This module is meant to show how a single node of a neural network works. Training is done by the *Stochastic Approximation of the Gradient-Descent* model....

SPURKIS/AI-Perceptron-1.0 - 10 Oct 2003 15:48:24 UTC

AI::Categorizer - Automatic Text Categorization River stage one • 1 direct dependent • 1 total dependent

"AI::Categorizer" is a framework for automatic text categorization. It consists of a collection of Perl modules that implement common categorization tasks, and a set of defined relationships among those modules. The various details are flexible - for...

KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC

AI::NaiveBayes1 - Naive Bayes Classification River stage zero No dependents

This module implements the classic "Naive Bayes" machine learning algorithm. Data Structure An object contains the following fields: "{attributes}" List of attribute names. "{attribute_type}{$a}" Attribute types - 'real', or not (e.g., 'nominal') "{l...

VLADO/AI-NaiveBayes1-2.007 - 29 Jan 2020 10:01:15 UTC

AI::FuzzyEngine - A Fuzzy Engine, PDL aware River stage zero No dependents

This module is yet another implementation of a fuzzy inference system. The aim was to be able to code rules (no string parsing), but avoid operator overloading, and make it possible to split calculation into multiple steps. All intermediate results (...

JMUECK/AI-FuzzyEngine-v0.2.2 - 27 Feb 2013 20:28:32 UTC

AI::DecisionTree - Automatically Learns Decision Trees River stage zero No dependents

The "AI::DecisionTree" module automatically creates so-called "decision trees" to explain a set of training data. A decision tree is a kind of categorizer that use a flowchart-like process for categorizing new instances. For instance, a learned decis...

KWILLIAMS/AI-DecisionTree-0.11 - 03 Mar 2012 03:30:24 UTC

AI::FuzzyInference - A module to implement a Fuzzy Inference System. River stage zero No dependents

This module implements a fuzzy inference system. Very briefly, an FIS is a system defined by a set of input and output variables, and a set of fuzzy rules relating the input variables to the output variables. Given crisp values for the input variable...

AQUMSIEH/AI-FuzzyInference-0.05 - 28 Mar 2006 21:41:12 UTC

AI::MicroStructure River stage zero No dependents

Creates Concepts for words...

SANTEX/AI-MicroStructure-0.20 - 03 Dec 2015 07:43:12 UTC

AI::NNFlex - A base class for implementing neural networks River stage zero No dependents

AI::NNFlex is a base class for constructing your own neural network modules. To implement a neural network, start with the documentation for AI::NNFlex::Backprop, included in this distribution...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::ConfusionMatrix - make a confusion matrix River stage zero No dependents

This module prints a confusion matrix <https://en.wikipedia.org/wiki/Confusion_matrix> from a hash reference. This module tries to be generic enough to be used within a lot of machine learning projects. Functions: "makeConfusionMatrix($hash_ref, $fil...

SKYSYMBOL/AI-ConfusionMatrix-0.010 - 27 Oct 2019 21:17:59 UTC

AI::PredictionClient - A Perl Prediction client for Google TensorFlow Serving. River stage zero No dependents

This is a package for creating Perl clients for TensorFlow Serving model servers. TensorFlow Serving is the system that allows TensorFlow neural network AI models to be moved from the research environment to your production environment. Currently thi...

STALL/AI-PredictionClient-0.05 - 23 Jul 2017 13:26:21 UTC

AI::SimulatedAnnealing - optimize a list of numbers according to a specified cost function. River stage zero No dependents

This module provides a single public function, anneal(), that optimizes a list of numbers according to a specified cost function. Each number to be optimized has a lower bound, an upper bound, and a precision, where the precision is an integer in the...

BFITCH/AI-SimulatedAnnealing-1.02 - 10 Oct 2010 04:35:44 UTC

AI::CBR::Sim - collection of basic similarity functions River stage zero No dependents

OBRADOVIC/AI-CBR-0.02 - 31 Jul 2009 09:07:03 UTC

AI::MXNet::Base - Helper functions River stage one • 2 direct dependents • 2 total dependents

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::CBR::Case - case definition and representation River stage zero No dependents

OBRADOVIC/AI-CBR-0.02 - 31 Jul 2009 09:07:03 UTC

Text::AI::CRM114 - Perl interface for CRM114 River stage zero No dependents

This module provides a simple Perl interface to "libcrm114", a library that implements several text classification algorithms....

MSCHUETT/Text-AI-CRM114-0.06b - 31 Jan 2017 22:48:02 UTC

AI::MXNet::Image - Read individual image files and perform augmentations. River stage one • 2 direct dependents • 2 total dependents

Image data iterator with a large number of augumentation choices. Supports reading from both .rec files and raw image files with image list. To load from .rec files, please specify path_imgrec. Also specify path_imgidx to use data partition (for dist...

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::MXNet::IO - Data loading interface of MXNet River stage one • 2 direct dependents • 2 total dependents

This document summarizes supported data formats and iterator APIs to read the data including mx->io Data iterators for common data formats. mx->recordio Data iterators for the RecordIO data format. mx->image Image Iterators and image augmentation fun...

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

TAEB::AI::Quit - I just can't take it any more... River stage zero No dependents

SARTAK/TAEB-0.03 - 14 Mar 2009 15:25:11 UTC

SPVM::AI::Util - AI Utilities for array operations, matrix operations, activate function, and cost function etc. River stage zero No dependents

SPVM::AI::Util is AI Utilities for array operations, matrix operations, activate function, and cost function etc. This is SPVM module. You can write programing logic using SPVM Language or binding C/C++/cuda language....

KIMOTO/SPVM-AI-Util-0.01 - 26 Sep 2020 01:57:04 UTC

TAEB::AI::Demo - a demonstration autonomous AI River stage zero No dependents

This exists so we include have something that *plays* NetHack in the core TAEB distro: a default AI. We could use TAEB::AI::Behavioral but that is a separate distribution, one that depends on TAEB at that. This is also an example AI for people intere...

SARTAK/TAEB-0.03 - 14 Mar 2009 15:25:11 UTC
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