Search Results for "structural"
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Showing 69 open source projects for "structural"
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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. -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. -
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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. -
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Design Patterns for Humans
An ultra-simplified explanation to design patterns
...Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each pattern’s section typically includes intent, real-world motivation, and an example implementation to cement understanding. The repository is designed to be skimmed or studied deeply, so you can revisit it as a quick refresher before interviews or architectural decisions. ... -
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Tigo
Tigo is an HTTP web framework written in Go (Golang)
...Developers can use these APIs to quickly build web services. Of course, the Tigo framework also provides developers with three toolkits, binding, logger, and request, which can be used by developers to perform structural body case studies, log records, and HTTP access requests. If you have used Tornado before, then Tigo is very easy for you to get started. Tigo provides two routing methods, and developers can learn through the right-side example. -
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The Ballerina programming language
The Ballerina Programming Language
Ballerina is an open-source programming language for the cloud that makes it easier to use, combine, and create network services. Network primitives in the language make it simpler to write services and run them in the cloud. Structural types with support for openness are used both for static typing within a program and for describing service interfaces. Type-safe, declarative processing of JSON, XML, and tabular data with language-integrated queries. Explicit error handling, static types, and concurrency safety, combined with a familiar, readable syntax make programs reliable and maintainable. ... -
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
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EthereumJS Monorepo
Monorepo for the Ethereum VM TypeScript Implementation
This repository holds various protocol building blocks of the Ethereum blockchain execution layer and is managed by the Ethereum Foundation JavaScript team. There is a TypeScript implementation of the Ethereum Virtual Machine (EVM) ready to be used in Node.js or a browser environment, implementations of core structural blockchain building blocks like an Ethereum Tx, Block or Blockchain as well as a Trie (Merkle Patricia Tree) and devp2p (execution networking layer) implementation. All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. They are complemented by helper packages like RLP for data encoding/decoding or Util, providing helper functionalities like (byte) conversion, signatures, types and others. ... -
Build innovative business apps powered by process automationManage your business as a unified system of interacting processes. Use BPMN 2.0 for low-code process modeling by business people. Follow your strategic goals with process architecture that always corresponds to the structure of an actual business.
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Java Design Patterns
Design patterns implemented in Java
A comprehensive, community-maintained collection of design pattern implementations in Java, offering well-documented, educational examples to help developers understand and apply common architectural solutions. All designs should be as simple as possible. You should start with KISS, YAGNI, and Do The Simplest Thing That Could Possibly Work principles. Complexity and patterns should only be introduced when they are needed for practical extensibility. The design patterns are now available as... -
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Vis
A vi-like editor based on Plan 9's structural regular expressions
Vis aims to be a modern, legacy-free, simple yet efficient editor, combining the strengths of both vi(m) and sam. It extends vi's modal editing with built-in support for multiple cursors/selections and combines it with sam's structural regular expression-based command language. A universal editor, it has decent Unicode support and should cope with arbitrary files, including large, binary, or single-line ones. Efficient syntax highlighting is provided using Parsing Expression Grammars, which can be conveniently expressed using Lua in the form of LPG. The editor core is written in a reasonable amount of clean (your mileage may vary), modern and legacy-free C code, enabling it to run in resource-constrained environments. ... -
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InkOS
Autonomous novel writing CLI AI Agent
...Its architecture reflects a pipeline approach where each agent contributes a specific function, allowing iterative improvement rather than single-pass generation. This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. It emphasizes scalability, enabling users to generate large volumes of narrative content with minimal manual intervention. -
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Immutables
Annotation processor to create immutable objects and builders
...Works out-of-the-box with build tools, integrates into IDEs. Lazy, derived and optional attributes. Comprehensive support for collections as attributes, including Guava collections. Generic parameters. Copy with structural sharing. Singleton and interned instances. -
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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. -
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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. ... -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The Clash project is a Haskell Foundation affiliated project. ... -
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MCPorter
Call MCPs via TypeScript, masquerading as simple TypeScript API
Mcporter is a utility designed to port Minecraft worlds from Java Edition to Bedrock Edition while preserving as much structural and gameplay integrity as possible. It addresses the complex differences between the two editions’ world formats, block states, biomes, and entity representations, giving players a seamless way to bring beloved Java worlds into the Bedrock ecosystem. The tool analyzes and converts chunks, block definitions, and metadata to a format Bedrock can interpret, ensuring terrain, constructions, and most in-game elements remain recognizable and playable after conversion. ... -
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
...Generalized linear models with support for all of the one-parameter exponential family distributions. Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames. -
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ytt
YAML templating tool that works on YAML structure instead of text
...Weave ytt templating into your own configuration, externalize values to variables, extract repeated snippets to functions, and make whole sections conditional. Patch on top of any configuration using ytt overlays. Express precise structural edits and invariant declaratively. ytt execution environment is hermetic and side-effect free, with no access to the filesystem, network, time, randomness, or the operating system interfaces. This guarantees that templates produce identical output with the same inputs. -
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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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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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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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Advanced Shiny
Shiny tips & tricks for improving your apps and solving common problem
The advanced-shiny repository is a curated collection of practical tips, design patterns, and mini Shiny apps focused on solving real-world challenges in R Shiny applications. The author (Dean Attali) collected many of the “harder” or less-documented tricks he uses or encounters frequently—things like controlling UI behavior dynamically, managing reactive logic, optimizing interactivity, and structuring large Shiny codebases. The repo’s structure includes folders of example apps each... -
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Java Design Patterns Website
Next generation website for Java Design Patterns
...Instead of reading patterns only in GitHub markdown, users can consume them in a more pleasant documentation format with sections, sidebars, and themed pages. The site structure makes it easier to discover related patterns, see intent and applicability, and jump between creational, structural, and behavioral groups. Because it’s built on VuePress, it benefits from a static-site workflow, theming, and easy deployment to GitHub Pages or similar hosting. It’s a good example of taking a large technical repo and giving it a documentation-first UI so newcomers can learn patterns without getting lost. -
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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...
