Search Results for "structural"
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Showing 17 open source projects for "structural"
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1
TypeResolver
PSR-5 based resolver of class names, types, structural element names
The specification on types in DocBlocks (PSR-5) describes various keywords and special constructs but also how to statically resolve the partial name of a Class into a Fully Qualified Class Name (FQCN). PSR-5 also introduces an additional way to describe deeper elements than Classes, Interfaces and Traits called the Fully Qualified Structural Element Name (FQSEN). Using this it is possible to refer to methods, properties and class constants but also functions and global constants. This package provides two Resolvers that are capable of returning a series of Value Object for given expression while resolving any partial class names, and returning an FQSEN object after resolving any partial Structural Element Names into Fully Qualified Structural Element names. ... -
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Valibot
Modular and type safe schema library for validating structural data
Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications. -
3
Scenery Zine
Turn ordinary images into pages worth staying on
...It then reduces the scene to its most important relationships instead of applying a fixed filter. The visual language favors paper texture, restrained typography, structural color, abstraction, and clear composition. Users install the skills into Codex, upload a photo, choose a path, and optionally specify relationships or moods to preserve. The repository also documents representative source-to-result case studies and uses a personal noncommercial license. -
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Scala 2
Scala 2 compiler and standard library
...Scaladex is officially supported by Scala Center. In Scala, functions are values, and can be defined as anonymous functions with a concise syntax. In Scala, case classes are used to represent structural data types. -
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cs-paper-checklist
A final sanity checklist to help your CS paper get accepted
cs-paper-checklist is a practical review guide for computer science conference and journal submissions. It helps authors catch writing, structure, formatting, evidence, and presentation problems before submitting a manuscript. The checklist reviews titles, abstracts, introductions, related work, methods, experiments, references, figures, tables, and appendices. It emphasizes reproducibility, meaningful baselines, ablation studies, statistical reporting, and clear definitions. Dedicated... -
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core.match
An optimized pattern matching library for Clojure
core.match is a high-performance pattern-matching library for Clojure and ClojureScript. It provides an optimized macro-based DSL for structurally matching data—such as sequences, maps, regexes—offering a clearer alternative to nested conditionals or destructuring. A symbol pattern can represent one of three behaviours. Match the value of an existing local binding. Create a "named" wildcard pattern that creates a binding of the given name to the right of the pattern row. -
7
Phlex
Object-oriented views in Ruby
...Phlex integrates seamlessly with Ruby on Rails and supports common tools such as Tailwind CSS, Stimulus, and Turbo, making it easy to incorporate into modern Rails applications. It also emphasizes safety and maintainability by preventing common issues such as cross-site scripting through structural design and strict data handling. Developers benefit from reusable components, modular architecture, and the ability to stream content for improved performance and user experience. -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
9
DGL
Python package built to ease deep learning on graph
...We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks. -
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Design Patterns Library
A comprehensive design patterns library implemented in C#
A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to... -
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Design Patterns in Swift
Design Patterns implemented in Swift
Design-Patterns-In-Swift is a repository that translates classic software engineering design patterns (from sources like the Gang of Four) into Swift code examples, so you can see how those patterns look in a modern, strongly typed, object-/protocol-oriented language. It covers creational, structural, and behavioral patterns: singletons, factories, decorators, observers, strategy, command, mediator, and more. For each pattern, you’ll typically see one or more Swift implementations, commentary on where it makes sense in a Swift architecture, and caveats about when you might prefer pure protocol composition or using functional patterns instead. ... -
12
ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
...PCs are represented as computational graphs that define a joint probability distribution as recursive mixtures (sum units) and factorizations (product units) of simpler distributions (input units). Given certain structural properties, PCs enable different range of tractable exact probabilistic queries such as computing marginals, conditionals, maximum a posteriori (MAP), and more advanced probabilistic queries. -
13
comby
A code rewrite tool for structural search and replace that supports
Comby is a tool for searching and changing code structure. Use lightweight templates to easily search and change code, HTML, or JSON. Comby is designed to work on any language or data format. Perform richer search and replace because Comby understands the syntax of code blocks, strings, and comments for your language. Comby is ideal for touching up pieces of code. Use it to translate code like this Python 2 to 3 fixer on the right to replace deprecated methods. Easily write one-off refactors... -
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vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
...Over time, vim-surround becomes muscle memory, reducing cognitive load and helping you keep your hands on the keyboard during structural edits. -
15
Page Monitor
capture webpage and diff the dom change with phantomjs
Page Monitor is a JavaScript webpage monitoring tool that captures a page and compares its DOM changes over time. It uses PhantomJS to render webpages and generate screenshots, which makes it useful for visual and structural change tracking. The tool can detect when elements are added, removed, edited, or restyled. It saves captures and compares them against previous versions, giving developers a way to inspect how a page changed between snapshots. It exposes a Monitor API with methods for capturing pages and manually comparing two saved states. Overall, it is a practical utility for developers who need automated webpage change detection, regression checks, or historical DOM comparison. -
16
MITIE
MITIE: library and tools for information extraction
...MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications. -
17
node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. ...
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