Search Results for "algorithms" - Page 19
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Showing 486 open source projects for "algorithms"
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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.
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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.
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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
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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)
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eProcurement SoftwareeBuyerAssist by Eyvo is a cloud-based procurement solution designed for businesses of all sizes and industries. Fully modular and scalable, it streamlines the entire procurement lifecycle—from requisition to fulfillment. The platform includes powerful tools for strategic sourcing, supplier management, warehouse operations, and contract oversight. Additional modules cover purchase orders, approval workflows, inventory and asset management, customer orders, budget control, cost accounting, invoice matching, vendor credit checks, and risk analysis. eBuyerAssist centralizes all procurement functions into a single, easy-to-use system—improving visibility, control, and efficiency across your organization. Whether you're aiming to reduce costs, enhance compliance, or align procurement with broader business goals, eBuyerAssist helps you get there faster, smarter, and with measurable results.
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Betelgeuse
Powerful machine learning modeling software suitable for 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, professional user interface amenable to less technical users, and to have multiple user interfaces for graphical, command line, and remote server use. -
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Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.
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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.
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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
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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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.
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pySPACE
Signal Processing and Classification Environment in Python using YAML
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 to its modular architecture, the software can easily be extended with new processing nodes and more general operations. ... -
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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.
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cosmos
Algorithms that run our universe | Your personal library of every algo
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. -
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The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).
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pydstruct
Provide Reference Implementations of Data Structures in Python(3)
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. -
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A Python translation of Piqle with Traits for simplified simulation with reinforcement learning agents.
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Generic engine to filter information. We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.
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ExoPlanet
GUI based toolkit for running common Machine Learning algorithms.
...It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model. -
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PixLab is a peculiar raster-based graphic editor giving one more additional drawing aspect to an artist. Not only traditional elements of painting, such as color and shape, but also artist's brush dynamics is fixed and displayed.
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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.
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Firefly's Clean Lzo
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
LZO is a compression library which is widely used around the world. 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...
