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scikit-learn
Analyzed about 7 hours 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
Licenses:
BSD-3-Clause
Accord.NET Framework
Analyzed about 21 hours 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
Licenses:
lgpl21_or...
SHOGUN
Analyzed about 7 hours 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.
Licenses:
gpl3_or_l...
flandmark
F
Analyzed about 13 hours ago
Open-source implementation of facial landmark detector
Licenses:
gpl3_or_l...
Modular toolkit for Data Processing MDP
Analyzed 10 minutes ago
Modular toolkit for Data Processing is a library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. Implemented algorithms include PCA,ICA,SFA, and many more.
Licenses:
No declared licenses