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MachineLearningCompphys

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  Analyzed 1 day ago

From linear regression towards neural networks...

5.08K lines of code

0 current contributors

19 days since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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Mostly written in C++
Licenses: GPL2
Tags classification logisticregression machine-learning neural-networks regression softmax

pycm

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  Analyzed 1 day ago

In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is ... [More] usually called a matching matrix). Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa) pycm(python confusion matrix) is a multi class confusion matrix library in python. [Less]

11.7K lines of code

13 current contributors

12 months since last commit

0 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags ai algorithms artificial_intelligence classification classifiers confusion-matrix data datamining intelligent_data_analysis machine-learning machine_learning mathematics 3 more...

litiv

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  Analyzed about 4 hours ago

C++ implementation pool for computer vision R&D projects.

84.7K lines of code

0 current contributors

about 2 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags computer-vision cplusplus detection feature-detection image-analysis image-processing machine-learning opencv video-surveillance

Golem Factory

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  Analyzed 1 day ago

Golem is a global, open source, decentralized supercomputer that anyone can access. It is made up of the combined power of users’ machines, from PCs to entire data centers. Golem is capable of computing a wide variety of tasks, from CGI rendering, through machine learning to scientific computing. ... [More] Golem’s limitations are only defined by our developer community’s creativity. Golem creates a decentralized sharing economy of computing power and supplies software developers with a flexible, reliable and cheap source of computing power. [Less]

71.7K lines of code

21 current contributors

almost 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: gpl3
Tags computingpower decentralized distributed_computing machine-learning machinelearning opensource rendering sharing sharing-economy supercomputing

TinyClassifier

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  Analyzed about 13 hours ago

a tiny machine learning library for scripting

1.65K lines of code

0 current contributors

over 12 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags c++ classification machine-learning machinelearning swig

SciQLOP

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  Analyzed 1 day ago

Efficient and Ergonomic application to explore spacecraft in situ plasma data and create catalogs of events. This is a mirror of the repo in the following link

62K lines of code

2 current contributors

2 days since last commit

0 users on Open Hub

Moderate Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: gpl3
Tags C++ machine-learning plasma-physics spaceweather visualization waveforms

ai.kvasir

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  Analyzed 1 day ago

A training ground for experimenting AI and Machine Learning techniques applicable to artificial agents playing Magic: The Gathering card game.

15.2K lines of code

1 current contributors

2 days since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C#
Licenses: mit
Tags artificial-intelligence card-game machine-learning magic-the-gathering mtg simulation

zeta-learn

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  Analyzed about 13 hours ago

zeta-learn is a minimalistic python machine learning library designed to deliver fast and easy model prototyping. zeta-learn aims to provide an extensive understanding of machine learning through the use of straightforward algorithms and readily implemented examples making it a useful resource for researchers and students.

6.25K lines of code

1 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags artificial-intelligence CNN deep-learning GRU kmeans LSTM machine-learning neural-networks numpy pca python regression 2 more...

intelligent-trading-bot

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  Analyzed 1 day ago

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

4.73K lines of code

0 current contributors

4 days since last commit

0 users on Open Hub

Low Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: No declared licenses
Tags ai artificial-intelligence big-data cryptocurrency cryptoexchange cryptotrade feature-engineering forecasting machine-learning ml

websitecategorizationapi

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  Analyzed about 1 hour ago

Website categorization API is a project whose main purpose is to provide machine learning classifications of websites, but also general texts. There are two taxonomies available, one is standard IAB taxonomy and the other is taxonomy from Google products definitions. IAB is suitable for marketing ... [More] purposes, because its categories were developed with ads in mind. The typical use would be e.g. for Real-TIme-Bidding (RTB) firms where you want to place an ad on those publishers websites whose content is in the same category as the category of the content of ads. E.g. you would not want to publish ad of industrial company on a gaming website, because it would not have a good conversion due to mismatch in interests of users. [Less]

15 lines of code

0 current contributors

almost 2 years since last commit

0 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: No declared licenses
Tags artificial-intelligence classification deep-learning development feature-detection machine-learning mysql php python