Search Results for "machine learning python" - Page 7

IVAM is short for "ISDN Voice Answering Machine". It is intended to be a highly configurable, simple, up-to-date and efficient replacement for vbox/vgetty as an ISDN-based answering machine. While the core is written in C, the high level answering mach

PyTele implements a Python extension for the Linux Telephony API. The first objective, already completed, is to provide Python commands to allow an answering machine or IVR (Interactive Voice Response) application to be implemented in Python.

a distributed engine for abstract neural network development via natural-language programming

This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.

Wa (word analysis) engine is a engine implementing common IA algorithms such as in-depth tree search using alpha-beta.

A fast kernel density estimation based classifier. Uses multi resolution KD trees to significantly reduce the number of calculations needed to perform density estimation.

This is a very simple implementation of the genetic algorithm framework presented by John Holland, based on Goldberg book Genetic Algorithms in Search, Optimization and Machine Learning.

Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.

Graphical score editor for contemporary dance. dansel intend to be used for learning and composing contemporary choreography.

...The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language. I expect a severe performance degradation, but I leave optimizing for speed to other people.

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. GCC plugin is licenced under GPLv3 licensed, while future LLVM plugins will be licensed under BSD license. ...