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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...
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in.
DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en
TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
mlpy is a Python module for Machine Learning 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.
mlpy is available both for Python >=2.6 and Python 3.X.
Java Decision Diagrams (BDD) libraries: JDD and JBDD
This project has been moved to bitbucket.org:
- https://bitbucket.org/vahidi/jbdd/wiki/Home
- https://bitbucket.org/vahidi/jdd/wiki/Home
It includes two libraries for working with decision diagrams:
- JBDD: a Java interface to two popular BDD libraries, CUDD and BuDDy
- JDD: a native Java library supporting BDD, Z-BDD
Foma is a compiler, programming language, and C library for constructing finite-state automata and transducers for various uses. It has specific support for many natural language processing applications such as producing morphological analyzers.
neuralnetgen is intended to be a universal neural net generator that receives a neural net description (on Neural Net Description Language, also developed on this project) and generates ANSI C code of a library that implements it.
Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Csolve is a constraint solver compiler. It compiles a set
of constraints into an arc-consistency algorithm.
Generated output is in the C language and can be linked
with existing code. Csolve
also contains libraries for standard instantiation method
ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems
Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal.
As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository.
The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.