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scikit learn


  Analyzed 4 months ago

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 implemented allows for easy comparison of accuracy and ... [More]

438K lines of code

205 current contributors

4 months since last commit

55 users on Open Hub

Activity Not Available



  Analyzed 25 days ago

The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. SHOGUN also implements a number of lin... [More]

757K lines of code

37 current contributors

2 months since last commit

11 users on Open Hub

High Activity



  Analyzed 4 months ago

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning, Artificial Intelligence and Neural ... [More]

36K lines of code

9 current contributors

5 months since last commit

6 users on Open Hub

Activity Not Available



  Analyzed 3 months ago

This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests' - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Cu... [More]

4.96K lines of code

0 current contributors

About 2 years since last commit

2 users on Open Hub

Activity Not Available

PPI Benchmark


  Analyzed almost 2 years ago

A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature.

721K lines of code

2 current contributors

Over 2 years since last commit

1 users on Open Hub

Activity Not Available
Licenses: No declared licenses