Search Results for "python data analysis" - Page 8

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

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

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

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.

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.

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.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

...Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website

Comparer is a document comparer program. The initial task of the comparer is to find the likeness of all documents given to it by generating a graph of all usable connections between documents.

Development codes for hierarchical stochastic block models

Python UNAP to convert between multiple graph formats. Also has extended graph tools for networkx and igraph modules.

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

Berlin/Bavarian Elektrotrom Cargo Concept Solver (BECCS) is a submission to the 2008 Informaticup Contest. It's a Web Application that constructs a euclidian steiner tree.

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

A tool for windows users, to determine the type of a file based on its content rather than it suffix.

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.

Search engine to help in user understanding of the concepts behind indexing, parsing, clustering, relevance feedback and ranking.

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.

ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...