Search Results for "algorithms" - Page 17

Python functions that Googlers have found useful.

AsyncSocket is a python module used for asynchronous socket connections that supports connection and read/write timeouts.

A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.

eBarter froms trades from commitments. It measures economic values without the need of a common value standard; distributes fairly the gain produced between participants and gives the preference to trades where participants have the weakest requirements.

PythonDirector is a flexible fast TCP loadbalancer written entirely in python. It takes inbound TCP connections and connects them to one of a number of backend servers using a variety of scheduling algorithms.

A Java software for 3D visualization of graphs/networks. It implements many graph layout algorithms (such as force-directed methods), graph generators (such as scale-free networks) and graph modifiers. Most functions can be accessed through its GUI.

libgcrypt-py is a Python wrapper around the libgcrypt cryptographic library. It supports functionality/algorithms that are supported by libgcrypt, including Symetric Ciphers (3DES, AES, Twofish, Blowfish), Cryptographic Hashing (MD5, SHA1, RIPE-MD160), P

boost_graph tried to wrap the C++ Boost Graph library in Python, providing graph algorithms like Breadth First Search, DFS, Shortest Path, Topological sort. This project is dead (http://bayleshanks.com/pamv1)

Betelgeuse is a machine learning modeling package designed to meet the requirements of heavy-duty industry use. It was designed to be efficient, reliable, and highly modular; it is developed primarily in Python to promote maintainability and rapid development, but uses Cython and C in critical bottlenecks for efficiency. It focuses on high-quality implementations of a diverse set of the most widely used machine learning algorithms. An important goal of Betelgeuse is to have a clean...

Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.

CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.

Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The

pyFinancials is a collection of financial algorithms, written in python.

AlgViewer allows navigation, editing and sharing of diagnostic tree-like or scorecard algorithms.

Solving genetic algorithms in a distributed processing system. Developed in python with sockets.

A collection of portfolio management components. Sharpe Model for selection of an initial portfolio is already implemented. A genetic algorithms package, also written in java, is used for the search of the best portfolio variants.

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...

ACF is a framework for writing model-checkers. ACF is built on the fundamental observation that the structure of most model-checking algorithms is independent of the formalism used to describe the system.

A collection of phonetic algorithms such as metaphone or soundex for use in Python.

The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).

Schborg is off.

Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.

The aim of the project is to provide reference implementations of data structures along with supporting references to publications and other materials. The only purpose is for fun and education: I like data structures.

A Python translation of Piqle with Traits for simplified simulation with reinforcement learning agents.

Institute of Technology, Blanchardstown Computer Science code by the class of 2007-2011 on course BN104. In this project we are open sourcing all of our project work to the public in the hopes it can be reused, built-upon, and used in education.