Search Results for "data structures" - Page 14
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Showing 771 open source projects for "data structures"
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SJSON
Set JSON values very quickly in Go
...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). ... -
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libHX is a C library (with some C++ bindings available) that provides data structures and functions commonly needed, such as maps, deques, linked lists, string formatting and autoresizing, option and config file parsing, type checking casts and more.
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ety
A Python module to discover the etymology of words
ety is a Python library and command-line tool designed to explore and retrieve the etymological origins of words by analyzing linguistic data and relationships between languages. It allows users to query a word and obtain its historical roots, including intermediate forms across different languages and time periods. The tool can generate recursive etymology chains as well as tree structures that visually represent how a word evolved over time. It is built as both a reusable module and a CLI utility, making it suitable for integration into other applications or standalone use. ... -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. The README breaks down preparation into categories — coding problems, system design, mock interview sites — so you can identify gap areas and allocate study time accordingly. ... -
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JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
...The JSON data is returned to the caller as a set of hierarchical D-List list objects, that make the data very easy to manage, sort, search or use, and easy to remove when done. Package includes a JSON textural generator which will create JSON grammar data blocks from hierarchical D-List representations of JSON data. The package also includes a variety of support functions to allow C code to easily find, add, and modify JSON values and members in D-List hierarchical structures. -
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CityHash
Automatically exported from Google code CityHash
...CityHash offers multiple hash sizes—32-bit, 64-bit, 128-bit, and 256-bit variants—with the CRC-based versions leveraging hardware acceleration on CPUs that support SSE4.2 CRC32 instructions. The library emphasizes hashing performance and uniformity rather than cryptographic security, making it ideal for use in data structures like hash tables and distributed systems requiring rapid key lookups. CityHash has been rigorously tested using tools like SMHasher to ensure high-quality mixing and collision resistance across a wide range of inputs. Its speed and portability have made it a popular choice for developers needing dependable, lightweight hash functions. -
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3D-Machine-Learning
A resource repository for 3D machine learning
3D-Machine-Learning is an open-source repository that compiles resources related to machine learning techniques applied to three-dimensional data. The project acts as a curated research directory that includes papers, datasets, tutorials, and software tools relevant to the emerging field of 3D machine learning. This interdisciplinary domain combines ideas from computer vision, computer graphics, and deep learning to analyze and generate three-dimensional structures. The repository includes references to important research papers covering topics such as point cloud processing, 3D reconstruction, shape analysis, and scene understanding. ... -
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GoDS
Implementation of various data structures and algorithms in Go
GoDS, which means "Go Data Structures", is an implementation of various data structures and algorithms in Go. It provides a wide variety of containers (Sets, Lists, Stacks, Maps, Trees), sets (HashSet, TreeSet, LinkedHashSet), lists (ArrayList, SinglyLinkedList, DoublyLinkedList), stacks (LinkedListStack, ArrayStack), maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), trees (RedBlackTree, AVLTree, BTree, BinaryHeap), comparators, and iterators. ... -
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Cyclops
An advanced platform for writing functional applications in Java 8
...Structural Pattern Matching API (deconstruct algebraic product and sum types). Improved type safety via the removal of unsafe APIs -- E.g. Unlike Optional, Option has no get method (which could throw a null pointer) -- New data structures do not support operations that would throw exceptions (you can't call head on an empty list for example). Eager and Lazy alternatives for most datastructures (Option is eager, Maybe is lazy + reactive). Improved naming of types (Function1-8 rather than Fn1-8, Either not Xor). Group id is changed to com.oath.cyclops. Versioning between cyclops-react and cyclops is merged on cyclops versioning scheme (version 10 = Cyclops X). -
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Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
Are you a JavaScript developer looking to improve your craft? Then, this algorithms book is for you. This material contains the fundamental concepts to move your career to the next level. You will be able to solve problems faster in your day-to-day work and ace technical job interviews. Simply put, algorithms are several steps to solve a specific problem (e.g., sort number, search value, transform data, etc.). Algorithms are an essential toolbox for every programmer. Even if you don't... -
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LeetCode Python
LeetCode Solutions: A Record of My Problem Solving Journey
This repository is a comprehensive personal journal of LeetCode problem-solving journey. It includes detailed solutions with code, algorithm insights, data structure summaries, Anki flashcards, daily challenge logs, and future planning sections. -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes that U-Net is better suited to datasets with fewer features and shallow visual structures, such as medical image segmentation, rather than complex VOC-style scenes. ... -
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Specter
Clojure(Script)'s missing piece
Specter is a powerful Clojure (and ClojureScript) library that revolutionizes navigation and manipulation of deeply nested and recursive data structures through a flexible, high-performance API beyond what vanilla Clojure offers. Specter has an extremely simple core, just a single abstraction called "navigator". Queries and transforms are done by composing navigators into a "path" precisely targeting what you want to retrieve or change. Navigators can be composed with any other navigators, allowing sophisticated manipulations to be expressed very concisely. ... -
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go-algorithms
Algorithms and data structures for golang
go-algorithms is an open-source educational repository that provides implementations of common algorithms and data structures written in the Go programming language. The project is designed primarily as a learning resource to help developers understand how fundamental computer science concepts can be implemented idiomatically in Go. It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. ... -
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30 Days of Elixir
A walk through the Elixir language in 30 exercises
...Each day introduces new material in a concise and practical format, encouraging hands-on experimentation and gradual mastery of the language. The content covers essential topics such as pattern matching, recursion, data structures, processes, and message passing—core principles that define Elixir’s design. This incremental learning format allows developers to build confidence and understanding while maintaining consistent progress. As one of the early and influential resources in the Elixir community, 30-days-of-elixir remains a valuable guide for self-learners and newcomers to the functional programming paradigm. -
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Unified Code Generation
Open-source code generator for Simulink/Stateflow
...Currently a Simulink and Stateflow front-end and a C-language back-end are included. Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) - Clear software architecture, direct correspondence to the model architecture - Separation of reusable library code - Simplicity and uniformity of software interfaces (for testing etc.) The following features are supported by the Simulink/UCGN - Discrete single-rate Simulink models and libraries - Block library with 50+ standard Simulink blocks - Periodic, condition-driven Stateflow charts (including flowgraphs, loops) - Structured data types through bus objects - Simulink native enumer -
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser.... -
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wasmboy
Game Boy / Game Boy Color Emulator Library
...It supports a wide range of emulator features including save states, input handling, and performance tuning options for lower-end devices. WasmBoy also includes a powerful debugging environment that exposes internal emulator components such as CPU registers, memory maps, and graphical data structures. By using Web Workers, it enables parallelized rendering and improved performance across different platforms. -
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JWebAssembly
Java bytecode to WebAssembly compiler
...The project supports a subset of the Java standard library and focuses on enabling practical execution of Java programs in web contexts. It provides tools for handling memory management, method calls, and data structures within the constraints of the WebAssembly runtime. Developers can use JWebAssembly to port existing Java applications to the web or build new applications that leverage Java’s ecosystem while targeting Wasm. The compiler also supports integration with build tools and workflows, making it accessible for typical Java development pipelines. -
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MScDB
A Mass Spectrometry Centric Protein Sequence Database for Proteomics
Protein sequence databases are indispensable tools for life science research including mass spectrometry (MS)-based proteomics. In current database construction processes, sequence similarity clustering is used to reduce redundancies in the source data. Albeit powerful, it ignores the peptide centric nature of proteomic data and the fact that MS is able to distinguish similar sequences. Therefore, we introduce an approach that structures the protein sequence space at the peptide level using theoretical and empirical information from large-scale proteomic data to generate a mass spectrometry centric protein sequence database (MScDB). ... -
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KvFront
A GUI tool for redis & memcached
...KvFront features an easy-to -use and straightforward graphical user interface, allowing users to easily work with Redis and Memcached in Linux based GTK+ 3.0 desktop environment. Its highlights include the ability to manage Redis and Memcached. It supports the most of data structures of Redis and Memcached, as well as to view the status of Redis and Memcached instances. In additon, KvFront also provides the scan alility of Redis , which can scan all keys in Redis. Installation: ----------------------------- Linux: KvFront is now available in PyPI. KvFront could be installed using pip: pip install KvFront Windows KvFront is supported running on Windows64. 1. download KvFront-x.x.x-win64.7z to local 2. un7z it to the local directory , the local dir is supposed to be "d:\KvFront" 3. double click "d:\KvFront\bin\KvFront.exe" -
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MeshCNN in PyTorch
Convolutional Neural Network for 3D meshes in PyTorch
MeshCNN is a deep learning framework designed specifically for processing 3D triangular mesh data using convolutional neural networks. Unlike traditional CNNs that operate on images or voxel grids, MeshCNN performs convolution operations directly on the edges of mesh structures. This design allows the model to capture geometric relationships between mesh elements while preserving the underlying topology of 3D shapes. The framework introduces specialized layers such as edge-based convolution, mesh pooling, and mesh unpooling operations that enable hierarchical feature learning on mesh surfaces. ... -
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Flux3D.jl
3D computer vision library in Julia
Flux3D.jl is a 3D vision library, written completely in Julia. This package utilizes Flux.jl and Zygote.jl as its building blocks for training 3D vision models and for supporting differentiation. This package also have support of CUDA GPU acceleration with CUDA.jl. -
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Fortress-of-Solitude
Libraries to work with data structures in C language
The repository have a library to each common data structures algorithms like Doubly linked list, Generic trees, Queue, Stack... Each lib have a option to carry your custom data in elements, other cool resources. -
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OpenAPI-to-GraphQL
Translate APIs described by OpenAPI Specifications (OAS) into GraphQL
...The Command Line Interface (CLI) provides a convenient way to start a GraphQL server wrapping an API for a given OpenAPI Specification. Use OpenAPI-to-GraphQL as a library in your application to generate GraphQL schemas. The GraphQL interface is created around the data definitions in the given OAS, not around the endpoints, leading to a natural use of GraphQL. Nested data Links defined in the OAS are used to create nested data structures, allowing for (deeply) nested queries. Automatic query resolution Automatically generated resolvers translate (nested) GraphQL queries to API requests. Request results are translated back to GraphQL responses. ...
