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Encog Machine Learning Framework

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  Analyzed 13 days ago

Encog is an advanced neural network and machine learning framework for Java, C# and C/C++. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog ... [More] can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks. Encog has been in active development since 2008. [Less]

381K lines of code

2 current contributors

11 months since last commit

19 users on Open Hub

Very Low Activity
5.0
 
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Accord.NET Framework

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  Analyzed 1 day ago

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications. A comprehensive set ... [More] of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details. [Less]

2.3M lines of code

24 current contributors

13 days since last commit

15 users on Open Hub

Moderate Activity
5.0
 
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Evolving Objects

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  Analyzed 4 months ago

EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems ... [More] , from continuous to combinatorial ones. Designing an algorithm with EO consists in choosing what components you want to use for your specific needs, just as building a structure with Lego blocks. [Less]

60.7K lines of code

0 current contributors

almost 6 years since last commit

6 users on Open Hub

Activity Not Available
5.0
 
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OptaPlanner

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  Analyzed about 23 hours ago

OptaPlanner optimizes business resource usage. Every organization faces planning problems: provide products or services with a limited set of constrained resources (employees, assets, time and money). OptaPlanner optimizes such planning to do more business with less resources. OptaPlanner is a ... [More] lightweight, embeddable planning engine written in Java™. It helps normal Java™ programmers solve constraint satisfaction problems efficiently. Under the hood, it combines optimization heuristics and metaheuristics with very efficient score calculation. OptaPlanner is open source software, released under the Apache Software License. It is 100% pure Java™, runs on any JVM and is available in the Maven Central Repository too. [Less]

281K lines of code

39 current contributors

3 days since last commit

3 users on Open Hub

High Activity
5.0
 
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nupic

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  Analyzed 1 day ago

NuPIC is a library that provides the building blocks for online prediction systems. The library contains the Cortical Learning Algorithm (CLA), but also the Online Prediction Framework (OPF) that allows clients to build prediction systems out of encoders, models, and metrics.

102K lines of code

7 current contributors

about 1 month since last commit

3 users on Open Hub

Moderate Activity
5.0
 
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Sphinx4

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  Analyzed 8 months ago

Sphinx4 is an open source speech recognizer written in Java.

114K lines of code

3 current contributors

9 months since last commit

3 users on Open Hub

Activity Not Available
5.0
 
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Licenses: No declared licenses

airhead-research

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  Analyzed about 2 years ago

The S-Space Package is a collection of algorithms for building Semantic Spaces. These algorithms process text corpora and map semantic representations for words onto high dimensional vectors. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics. ... [More] The research and development is being done by the Natural Language Processing group at UCLA led by David Jurgens and Keith Stevens, under the advisory of Dr. Michael Dyer. Our initial goal is to provide a uniform implementation for many common semantic space algorithms in order to facilitate researc [Less]

402K lines of code

0 current contributors

about 3 years since last commit

3 users on Open Hub

Activity Not Available
5.0
 
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Kameri no Tatakai

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  Analyzed almost 4 years ago

A game mixing realtime and turn-by-turn strategy, without any random, making it really deterministic and based on the player experience more than its chance. It is developed using the Objective Caml programming language, as a school project for our first year in EPITA, a french programming school.

18.9K lines of code

0 current contributors

over 9 years since last commit

3 users on Open Hub

Activity Not Available
4.0
   
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hipster4j

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  Analyzed almost 3 years ago

The aim of Hipster is to provide an easy to use yet powerful and flexible type-safe Java library for heuristic search. Hipster relies on a flexible model with generic operators that allow you to reuse and change the behavior of the algorithms very easily. Algorithms are also implemented in an ... [More] iterative way, avoiding recursion. This has many benefits: full control over the search, access to the internals at runtime or a better and clear scale-out for large search spaces using the heap memory. You can use Hipster to solve from simple graph search problems to more advanced state-space search problems using common AI search strategies such as Dijkstra, A*, Bellman-Ford, IDA* and more. [Less]

7.83K lines of code

4 current contributors

almost 3 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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Computational Intelligence Library

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  Analyzed almost 4 years ago

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.

85.1K lines of code

11 current contributors

almost 4 years since last commit

2 users on Open Hub

Activity Not Available
4.5
   
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Licenses: No declared licenses