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Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr).
It provides various tools for:
- data analysis
- sampling
- statistical modeling
- optimisation
- sensitivity analysis
- uncertainty analysis
- running code on high performance computers
- etc.
Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python.
Is is...
...Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, MachineLearning, Non-parametric Regression, etc.).
Etchimaths(A'LEVEL) is a typical Mathematics software for A'LEVEL
Etchimaths(A'LEVEL) is a Mathematics software, a helping tool for Mathematics simulation(solving) and study for the GCE ADVANCED LEVEL standard.It is a solving machine as well as a teaching machine
A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.
mlpy is a Python module for MachineLearning built on top of NumPy/SciPy and of GSL.
mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3.
Hermetica is an educational tool for learning about logic. It functions partly as a proof checker with inline annotations. It will also support python scripting for automated subproofs and calculations. I would especially like help with the artwork.
Self-Adapting Large-scale Solver Architecture: system for picking numerical algorithms (linear system solving) based on statistical modeling and machinelearning.
ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
Ruby SVM is a Ruby binding to the very popular and highly useful libsvm library (released under a seperate license) This allows you to effortlessly experiment with machinelearning, in particular Support Vector Machines, in Ruby. SVM's have found use in