Search Results for "python neural network"

TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...

A large repository of open-source programs built for Cygwin, including X11 desktops, language interpreters, multimedia frameworks, cross-compiler toolchains, and much more. Also hosted here is the cygport tool for building Cygwin packages. cygport releases and the Ports Git repositories are hosted here; Ports packages are available from the website.

GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software...

An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.

This project is goaled a r-language wrap of Artificial Neural Network library libfann. also known as R-binding libfann

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

Neural Network for physicists. A flexible code in which the user has high control of the network parameters. The code provides a chi^2 cost function. The code accepts user-defined cost function and neuron activation functions.

A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.

Program that compares the time of execution between a Neural Network and the formula of distance.