AI::Genetic::Pro - Efficient genetic algorithms for professional purpose with support for multiprocessing. River stage zero No dependents

This module provides efficient implementation of a genetic algorithm for professional purpose with support for multiprocessing. It was designed to operate as fast as possible even on very large populations and big individuals/chromosomes. "AI::Geneti...

STRZELEC/AI-Genetic-Pro-1.005 - 08 Dec 2020 20:37:15 UTC

AI::Prolog::Term - Create Prolog Terms. River stage one • 2 direct dependents • 2 total dependents

See AI::Prolog for more information. If you must know more, there are plenty of comments sprinkled through the code....

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

AI::MXNet::Symbol - Symbolic interface of MXNet. River stage one • 2 direct dependents • 2 total dependents

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

AI::MXNet::Engine - Allows management of properties of the MXNet's engine. River stage one • 2 direct dependents • 2 total dependents

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

AI::MXNet::LinAlg - Linear Algebra routines for NDArray and Symbol. River stage one • 2 direct dependents • 2 total dependents

The Linear Algebra API, provides imperative/symbolic linear algebra tensor operations on CPU/GPU. mx->linalg-><sym|nd>->gemm Performs general matrix multiplication and accumulation. mx->linalg-><sym|nd>->gemm2 Performs general matrix multiplication. ...

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

AI::MXNet::Random - Handling of randomization in MXNet. River stage one • 2 direct dependents • 2 total dependents

Handling of randomization in MXNet....

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

AI::Nerl::Network - 3-layer neural network with backpropagation River stage zero No dependents

ZPMORGAN/AI-Nerl-0.03 - 12 Jan 2012 10:27:24 UTC

AI::XGBoost::CAPI - Perl wrapper for XGBoost C API https://github.com/dmlc/xgboost River stage zero No dependents

Perlified wrapper for the C API Error handling XGBoost c api functions returns some int to signal the presence/absence of error. In this module that is achieved using Exceptions from Exception::Class...

PABLROD/AI-XGBoost-0.11 - 20 Aug 2017 20:56:55 UTC

Games::Euchre::AI - Player API for Euchre card game River stage zero No dependents

This class implements a skeletal Euchre player programming interface. Subclasses can be created quite easily as interactive interfaces or AI computer players. If you wish to write your own computer player, I recommend you start with Games::Euchre::AI...

CDOLAN/Games-Euchre-1.02 - 05 Aug 2003 20:30:25 UTC

AI::MXNet::InitDesc - A container for the initialization pattern serialization. River stage one • 2 direct dependents • 2 total dependents

The base class AI::MXNet::Initializer defines the default behaviors to initialize various parameters, such as set bias to 1, except for the weight. Other classes then define how to initialize the weights. Currently following classes are available: mx...

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

AI::CBR::Retrieval - retrieve similar cases from a case-base River stage zero No dependents

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

AI::Prolog::Engine - Run queries against a Prolog database. River stage one • 2 direct dependents • 2 total dependents

"AI::Prolog::Engine" is a Prolog engine implemented in Perl. The "new()" function actually bootstraps some Prolog code onto your program to give you access to the built in predicates listed in the AI::Prolog::Builtins documentation. This documentatio...

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

AI::MXNet::NDArray - Multidimensional tensor object of MXNet. River stage one • 2 direct dependents • 2 total dependents

AI::MXNet::NDArray - Imperative tensor operations on CPU/GPU In AI::MXNet, NDArray is the core data structure for all mathematical computations. An NDArray represents a multidimensional, fixed-size homogenous array. If you're familiar with the PDL, y...

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

AI::MXNet::Context - A device context. River stage one • 2 direct dependents • 2 total dependents

This class governs the device context of AI::MXNet::NDArray objects....

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

AI::Gene::Sequence River stage zero No dependents

This is a class which provides generic methods for the creation and mutation of genetic sequences. Various mutations are provided as is a way to ensure that genes created by mutations remain useful (for instance, if a gene gives rise to code, it can ...

AJGOUGH/AI-Gene-Sequence-0.22 - 10 May 2011 03:41:28 UTC

AI::FANN::Evolving - artificial neural network that evolves River stage zero No dependents

RVOSA/AI-FANN-Evolving-0.4 - 04 Jun 2014 22:42:31 UTC

AI::Prolog::Parser - A simple Prolog parser. River stage one • 2 direct dependents • 2 total dependents

There are no user-serviceable parts inside here. See AI::Prolog for more information. If you must know more, there are a few comments sprinkled through the code....

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

AI::MXNet::Monitor - Monitor outputs, weights, and gradients for debugging. River stage one • 2 direct dependents • 2 total dependents

Monitor outputs, weights, and gradients for debugging. Parameters ---------- interval : Int Number of batches between printing. stat_func : CodeRef a function that computes statistics of tensors. Takes a NDArray and returns a NDArray. defaults to mea...

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

AI::MXNet::RunTime - Runtime querying of compile time features in the native library. River stage one • 2 direct dependents • 2 total dependents

With this module you can check at runtime which libraries and features were compiled in the library. Example usage: use AI::MXNet qw(mx); my $features = mx->runtime->Features(); print $features->is_enabled("CUDNN"); 0 print $features->is_enabled("CPU...

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

AI::MXNet::Contrib - An interface to experimental operators defined in C++ space. River stage one • 2 direct dependents • 2 total dependents

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