AI::MXNet::RNN - Functions for constructing recurrent neural networks. River stage one • 2 direct dependents • 2 total dependents

Functions for constructing recurrent neural networks....

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

AI::MXNet::Module - FeedForward interface of MXNet. See AI::MXNet::Module::Base for the details. River stage one • 2 direct dependents • 2 total dependents

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

TAEB::AI::Human - the only AI that has a chance River stage zero No dependents

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

Games::Risk::AI - base class for all ais River stage one • 3 direct dependents • 3 total dependents

This module is the base class for all artificial intelligence. It implements also a POE session representing an AI player. This POE session will retain the "Games::Risk::AI::*" object as heap....

JQUELIN/Games-Risk-4.000 - 04 Apr 2014 13:13:31 UTC

AI::FreeHAL::Class - Support for creating standard "inside-out" classes River stage zero No dependents

This module provides tools that help to implement the "inside out object" class structure in a convenient and standard way. *Portions of the following code and documentation from "Perl Best Practices" copyright (c) 2005 by O'Reilly Media, Inc. and re...

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

AI::MXNet::RNN::IO - Functions for constructing recurrent neural networks. River stage one • 2 direct dependents • 2 total dependents

Functions for constructing recurrent neural networks....

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

AI::MXNet::RecordIO - Read/write RecordIO format data River stage one • 2 direct dependents • 2 total dependents

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

AI/SemanticNetwork.pm River stage zero No dependents

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

AI/SemanticEngine.pm River stage zero No dependents

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

lib/AI/Nerl.pm River stage zero No dependents

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

lib/AI/PBDD.pm River stage zero No dependents

Binary Decision Diagrams (BDDs) are used for efficient computation of many common problems. This is done by giving a compact representation and a set of efficient operations on boolean functions f: {0,1}^n --> {0,1}. It turns out that this representa...

GIATORTA/AI-PBDD-0.01 - 18 Oct 2011 11:52:14 UTC

lib/AI/CleverbotIO.pm River stage zero No dependents

POLETTIX/AI-CleverbotIO-0.002 - 06 Jan 2017 18:40:40 UTC

AI/Util.pm River stage zero No dependents

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

AI/Selector.pm River stage zero No dependents

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

lib/AI/ML.pm River stage zero No dependents

RUISTEVE/AI-ML-0.001 - 31 Aug 2019 09:25:42 UTC

AI/POS.pm River stage zero No dependents

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

AI::MXNet::Metric - Evaluation Metric API. River stage one • 2 direct dependents • 2 total dependents

This module hosts all the evaluation metrics available to evaluate the performance of a learned model. Python Docs <https://mxnet.apache.org/api/python/metric/metric.html>...

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

TAEB::AI::Ascend - Ascend in one line of code River stage zero No dependents

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

AI::MXNet::Gluon - High-level interface for MXNet. River stage one • 2 direct dependents • 2 total dependents

The AI::MXNet::Gluon package is a high-level interface for MXNet designed to be easy to use, while keeping most of the flexibility of a low level API. AI::MXNet::Gluon supports both imperative and symbolic programming, making it easy to train complex...

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

AI::Gene::Simple 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 but the resulting mutations are not checked for a correct syntax. These classes are suitable for genes where it is only ...

AJGOUGH/AI-Gene-Sequence-0.22 - 10 May 2011 03:41:28 UTC
358 results (0.023 seconds)