Search Results for "compiler python linux" - Page 7

La P.A.P.A. (Python Alternative for Programming Astrophysics) want to give an alternative to the astrophysicists (and any one that use RSI-IDL) for start programming in Python using similar functions as IDL and at the same time learn the power of Python.

pyclashie is a software developed in python to show graphic view of code dependencies in, virtually, any programming language. The idea is to analize directories of source code, and search for class hierarchy and dependencies, writing them to .dot files.

NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles

Chartshare is a computer based system for the production, analysis, and distribution of Standard Celeration Charts (http://www.celeration.org).

Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org

VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

Rocksnake takes localities from geological mapping projects and plots them in 2D, over an optional basemap. Each locality has all the standard geology notebook contents and photos attached to it which can then be viewed from Rocksnake.

HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.

ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.

A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.

Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.

ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.

The goal of this project is to develop a Python tool to make an in-depth quantitative analysis about Wikipedia, generating graphics and statistical results for each language version of Wikipedia.

PLearn is a C++ library aimed at research and development in the field of statistical machine learning algorithms.

This project has moved to http://code.google.com/p/triviabotcracker/ A program to automatically find the answers for trivia bot common in IRC channel.

Investigation the concept of speed knowledge acquisition through speed reading and visual display. The initial version should be based on the concept provided by Dictator and should be a variable speed reader, handling TeX formatted files. Project design

PyEsp - Enhanced/Evolving/Extensible Semantic Profiling. This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.

mozg is a flexible, fast neurolibrary. It allows one to create, learn and use multi-layer perceptron (MLP), which is the most popular artificial neural network (ANN). This work is based on library originally written by Alexy Filin.

The proute engine is a library for processing and displaying vehicle routing information. It typically takes as input a vehicle routing problem instance as well as a solution, and can output graphical views of this data (nodes, routes, etc).

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.

In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in...