PUBLIC MARKS from ogrisel with tag "open source"

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), Gaussian Classifiers, and Restricted Boltzmann Machines. Read the full list.

The TimeSeries scikits module provides classes and functions for manipulating, reporting, and plotting time series of various frequencies.

Don Quixote is a new business software that uses artificial intelligence and powerful statistical methodology to achieve high forecasting accuracy. No matter if you forecast market shares, sales, profits, demand for services or material, Don Quixote will make your work faster, easier and more accurate and will improve your understanding of the nature of time series.

I chose to write them in pure SSE1 MMX so that they run on the pentium III of your grand mother, and also on my brave athlon-xp, since thoses beast are not SSE2 aware. Intel AMath showed me that the performance gain for using SSE2 for that purpose was not large enough (10%) to consider providing an SSE2 version (but it can be done very quickly). The functions use only the _mm_ intrinsics , there is no inline assembly in the code. Advantage: easier to debug, works out of the box on 64 bit setups, let the compiler choose what should be stored in a register, and what is stored in memory. Inconvenient: some versions of gcc 3.x are badly broken with certain intrinsic functions ( _mm_movehl_ps , _mm_cmpeq_ps etc). Mingw's gcc for example -- beware that the brokeness is dependent on the optimization level. A workaround is provided (inline asm replacement for the braindead intrinsics), it is not nice but robust, and broken compilers are detected by the validation program below.

Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning Elefant include modules for many common optimisation problems arising in machine learning and inference. It is designed to be modular and easy to use. Framework provides easy to use python interface, which can be use for quick prototyping and testing inference algorithms.

VoxForge was set up to collect transcribed speech for use with Free and Open Source Speech Recognition Engines. We will categorize and make available all submitted audio files under the GPL license, and then 'compile' them into Acoustic Models for use with Open Source Speech Recognition engines such as Sphinx, ISIP, HTK, and Julius.

CSS-like selectors to register onload javascript behaviors to DOM elements