Search Results for "structure"
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24 projects for "structure" with 2 filters applied:
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PRML
PRML algorithms implemented in Python
...Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. Many of these algorithms are paired with Jupyter notebooks that let users interact with the code, visualize results, and experiment with parameters in a way that deeply strengthens theoretical understanding. -
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ngraph.path
Path finding in a graph
...It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to different types of graph structure and performance needs. It can be integrated with visualization libraries like VivaGraphJS to animate or highlight computed paths in a rendered graph, enabling interactive routing features. Its data structures and algorithm choices are optimized for performance and memory efficiency, so even large meshes or road networks can be navigated interactively. ... -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking or coming from non-CS backgrounds. Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line. -
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Supervised Reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. The fundamental idea is: sample a... -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ... -
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational understanding of algorithmic patterns. ... -
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The library for utilization of Minimal Quadtree format for storing very large sparse matrices. Please see the paper referenced below for the description of a problem. Corresponding papers: Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices (I. Šimeček, D. Langr, P. Tvrdík), In Scalable Computing: Practice and Experience, volume 15, 2014. Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures (I. Šimeček, Daniel Langr, Pavel Tvrdík), In Proceedings of 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2013), 2013. ...
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S-Match
S-Match is a semantic matching framework.
...S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration, ontology evolution and alignment, peer-to-peer information sharing, digital libraries integration, web service composition, agent communication, and query answering on the web. S-Match is extendable to host new algorithms. -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. -
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The Data Structure & Algorithm Library (DSAL) is a library of classical data structure and algorithm.
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JSort is a library with some sorting algorithms implementation and related data structure. It has compare-based algorithms, linear sorting, graph sorting, priority based queue, and so on.
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XPN is relies on a non relational native XML database, where XML documents are stored in a compressed form and indices enables fast access to structure and content, thus enabling a fast evaluation of XQuery queries.
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Fast cython implementation of trie data structure for Python. Development is inactive, but moved to: http://github.com/martinkozak/cytrie.
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This library implements several locality sensitive hashing(LSH) based algorithms, including indexing data structure for high dimensional spaces and metric spaces, sketch constructions and set embedding algorithms.
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A public domain C data structure library, with an emphasis on collections. Currently includes dynamic arrays and lists.
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This library is meant to offer an array of general purpose data structures and algorithms for a multitude of uses. Each structure must be examined for its specific usefulness to be determined. Please see the API documentation for more details.
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Extensible Compressed Trie
An extensible and compressed trie data structure written in C++.
An extensible and compressed trie data structure written in C++. -
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OCaml-Reins is a data structure library for O'Caml that includes cursor based iterators, a collection of functors to minimize client-side boilerplate, a powerful on-line benchmarking system and Quickcheck style testing infrastructure.
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yaghi (Yet Another GrapH Implementation) is a Free (as Freedom) Implementation in C++ for the data structure "Graph" using the STL library.
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PileWorks provides the organizational structure for coordinating several different projects which approach some aspect of Pile Technology. PileWorks defines a set of interfaces and implements some basic infrastructure for Pile engines and agents.
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