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scikit-learn

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  Analyzed 2 days ago

scikit-learn is a Python module integrating various machine learning algorithms under a common interface. It offers a wide range of methods such as Support Vector Machines, linear models (L1, L2 penalized), logistic regression, gaussian mixture models and more. The large number of algorithms aleady ... [More] implemented allows for easy comparison of accuracy and performance of various algorithms. [Less]

9.27M lines of code

398 current contributors

2 days since last commit

80 users on Open Hub

Very High Activity
5.0
 
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GNU Go

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Claimed by GNU Analyzed about 10 hours ago

GNU Go is a free program that plays the game of Go. GNU Go has played thousands of games on the NNGS Go server. GNU Go is now also playing regularly on the Legend Go Server in Taiwan, on the WING server in Japan, and many volunteers run GNU Go clients on KGS. GNU Go has established itself as the ... [More] leading non-commercial go program in the recent tournaments that it has taken part in. [Less]

85.7K lines of code

0 current contributors

almost 11 years since last commit

11 users on Open Hub

Inactive
4.375
   
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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
 
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Mostly written in language not available
Licenses: lgpl

RubixML

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  Analyzed about 14 hours ago

Rubix ML is a free open-source library for the PHP language that allows you to build programs that learn from your data. We provide tools for the entire machine learning life cycle from ETL to training, validation, and production with over 40 supervised and unsupervised learning algorithms.

44.5K lines of code

0 current contributors

13 days since last commit

4 users on Open Hub

Low Activity
0.0
 
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Spark - A generic physical simulator

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  Analyzed 1 day ago

Spark is a physical simulation system. The primary purpose of this system is to provide a *generic* simulator for different kinds of simulations. In these simulations, agents can participate as external processes.

467K lines of code

0 current contributors

about 1 year since last commit

3 users on Open Hub

Very Low Activity
5.0
 
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Fuego

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  Analyzed 1 day ago

Fuego is a collection of C++ libraries for developing software for the game of Go. It includes a Go player using Monte-Carlo tree search. The initial version of the code was released by the Computer Go group at the University of Alberta and is based in parts on the previous projects Smart Game Board ... [More] and Explorer. Fuego is avaliable under the terms of the GNU Lesser General Public License. [Less]

475K lines of code

1 current contributors

over 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
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jgogears

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  Analyzed about 22 hours ago

jgogears is a Java library for playing the asian game of Go.

10.8K lines of code

0 current contributors

over 10 years since last commit

1 users on Open Hub

Inactive
1.0
   
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rDany

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  Analyzed 1 day ago

rDany is a conversational chatbot that works offline.

22K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

Inactive
0.0
 
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MOEA Framework

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  Analyzed about 11 hours ago

The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. ... [More] In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

79.1K lines of code

1 current contributors

2 days since last commit

1 users on Open Hub

High Activity
5.0
 
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trAInsported

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  Analyzed about 9 hours ago

TrAInsported is a game about trains, Artificial Intelligence and lots and lots of passengers. It's the near future, and trains are controlled by AI. It's your job to write the best AI on the market. Manage your trains in short rounds and make sure you transport more passengers than any other ... [More] company. As you go through the game, your AI will improve. Once through the tutorial and challenge maps (or anytime you think your AI is ready), you can upload the AI through this site and watch it compete in live online matches against other players' AIs! The server will stage live matches multiple times an hour. AIs will be chosen at random; the lower the number of matches which the AI has already competed in, the more likely it will be to compete in the next match. [Less]

19.8K lines of code

0 current contributors

almost 8 years since last commit

1 users on Open Hub

Inactive
0.0
 
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