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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]

2.2M lines of code

15 current contributors

over 3 years since last commit

20 users on Open Hub

Inactive
5.0
 
I Use This

Encog Machine Learning Framework

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  Analyzed about 5 hours 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]

380K lines of code

1 current contributors

about 5 years since last commit

19 users on Open Hub

Inactive
5.0
 
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Evolving Objects

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  No analysis available

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]

0 lines of code

0 current contributors

0 since last commit

6 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: lgpl

OptaPlanner

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  Analyzed 2 days 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]

623K lines of code

37 current contributors

13 days since last commit

4 users on Open Hub

Moderate Activity
5.0
 
I Use This

Mycroft AI

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  No analysis available

Mycroft is the world’s first open source voice assistant. It can run anywhere – on a desktop computer, inside an automobile, it even runs on a Raspberry Pi. It is open so it can be remixed, extended, improved. It can be used in anything from a science project to an enterprise software application.

0 lines of code

28 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: apache_2

nupic

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  Analyzed 3 days 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

5 current contributors

7 months since last commit

3 users on Open Hub

Very Low Activity
5.0
 
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airhead-research

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  Analyzed 27 minutes 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]

99.4K lines of code

0 current contributors

almost 7 years since last commit

3 users on Open Hub

Inactive
5.0
 
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Kameri no Tatakai

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  No analysis available

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.

0 lines of code

0 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
4.0
   
I Use This
Mostly written in language not available
Licenses: gpl3_or_l...

Sphinx4

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  Analyzed 3 days ago

Sphinx4 is an open source speech recognizer written in Java.

57.2K lines of code

2 current contributors

almost 4 years since last commit

3 users on Open Hub

Inactive
5.0
 
I Use This
Licenses: No declared licenses

owyl

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  Analyzed 2 days ago

You have Pyglet. You've got Rabbyt. But who do your sprites go to for advice? Owyl, of course. GoalsThe goal of Owyl: provide a fast and flexible Behavior Tree framework implemented in python. Owyl trees use nested generators to iterate through your behaviors. The root of the tree always works ... [More] just like a normal python iterator. If you know how to work with iterators, you know how to work with an Owyl tree. Because Owyl is small and behavior trees are easy to grasp, it's easy to control and extend your AI behaviors. Trees as IteratorsTrees as iterators give you total control over how a behavior tree integrates with your code: use a for loop, a list comprehension, a generator expression, or manual calls to tree.next(). Run the tree one step, five, or fifty with every frame. ExtendingWriting new behaviors is simple and easy (and soon to be documented!). Any object that corresponds to python's iterator interface and a few simple rules for yielded values will work. Owyl's core behaviors are written as simple generator functions. More InformationFor more information on Behavior Trees, see these articles. Remember: AI isn't about math, it's about getting things done. For more information on python generators, see this introduction to generators. [Less]

1.52K lines of code

0 current contributors

over 9 years since last commit

1 users on Open Hub

Inactive
4.0
   
I Use This