Fabio de Miranda's Library tagged → View Popular
bibtex-py - bibtex parsing module
bibtex-py is a simple bibtex parsing module for python. It is the library used in biblio-py.
Kirill Osenkov : New CodePlex project: a simple Undo/Redo framework
Also has links to other frameworks:
It's a simple framework to add Undo/Redo functionality to your applications, based on the classical Command design pattern. It supports merging actions, nested transactions, delayed execution (execution on top-level transaction commit) and possible non-linear undo history (where you can have a choice of multiple actions to redo).
The status of the project is Stable (released). I might add more stuff to it later, but right now it fully satisfies my needs. It's implemented in C# 3.0 (Visual Studio 2008) and I can build it for both desktop and Silverlight. The release has both binaries.
Box2D - 2D physics engine
Box2D is an open source 2D physics engine for games. Several other engines (such as JPhys2D and Cocos2d) where based on it.
Marsyas - audio analysis
Marsyas (Music Analysis, Retrieval and Synthesis for Audio
Signals) is an open source software framework for audio processing with
specific emphasis on Music Information Retrieval applications
mpmath - Google Code - Multiprecision math in Python
Mpmath is a pure-Python library for multiprecision
floating-point arithmetic. It provides an extensive set of
transcendental functions, unlimited exponent sizes, complex numbers,
interval arithmetic, numerical integration and differentiation,
root-finding
Local Online Computer Vision Books
D. Ballard and C. Brown, Computer Vision, previously published
by Prentice-Halldaidb, 1982.
S. Dance, Z.Q. Liu, T.M. Caelli, Picture Interpretation: A Symbolic
Approach, previously published by World Scientific, 1995, R. B. Fisher,
From Surface To Objects
SPASM - probabilistic representations library
SPASM is a templatised C++ library for the storage and
manipulation of a variety of probabilistic representations.
Represenationtations currently considered are: Gaussian, Gaussian
Mixtures, Parzen density Estimates, Particles and Discrete grids. this
lib
Bayes++ Bayesian Filtering
Why should I use Bayes++? After all, writing a Kalman filter
in Matlab is not too hard.
For a simple test this may be true. If you have ever tried to deal with
the wide variety of numerical failures and normalizations required to
deal with discontinues
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