Search Results for "structural"
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Showing 370 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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Difftastic
A structural diff that understands syntax
Difftastic is a structural diff tool written in Rust that parses source files using syntax trees (via tree‑sitter) and produces human‑readable diffs at the expression level. It works across 30+ languages and emphasizes readability by aligning code structure rather than lines. Ideal for code review and understanding semantic changes. -
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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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Mantic.sh
A structural code search engine for Al agents
Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. ... -
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CausalImpact
An R package for causal inference in time series
...It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. The package supports plotting, summary tables, and verbal narratives for interpretive reports. -
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DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems
DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings. -
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Torch Pruning
DepGraph: Towards Any Structural Pruning
Torch-Pruning is an open-source toolkit designed to optimize deep neural networks by performing structural pruning directly within PyTorch models. The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures. ... -
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Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
...This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image encodings alone. By combining text and structured image representations, it aims to facilitate tasks where both descriptive and structural understanding are important, such as detailed image QA, interactive image editing via prompt layers, and image-conditioned generation with structural control. The layered approach supports training signals that help the model learn how visual elements relate to each other and to textual context, rather than simply learning global image embeddings. -
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SeedCrackerX
Minecraft mod designed to reverse-engineer
...The system can also integrate with a shared database to contribute discovered seeds, enabling collaborative data gathering across users. Advanced features include brute-force algorithms that refine seed candidates based on structural patterns and hashed seed calculations. -
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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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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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JSON_REPAIR
A python module to repair invalid JSON from LLMs
...Instead of failing when encountering errors such as missing quotes, trailing commas, or incomplete objects, the library analyzes the malformed data and reconstructs it into valid JSON. The repair process can also be combined with optional JSON Schema validation to enforce structural constraints and ensure the output conforms to expected data types and formats. Developers can integrate the library into applications as a drop-in replacement for standard JSON parsing functions, allowing systems to tolerate imperfect structured data without crashing. -
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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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Xournal++
A handwriting notetaking software with PDF annotation support
...Add images and create various shapes, from circles to splines to axis. Snap objects to rectangular grid or degrees of rotation. Create anything from differential equations to electrical circuits or the structural formula of molecules using our built-in LaTeX editor. Customize your toolbar to create a new layout, tailor-made for you. -
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Skill Scanner
Security Scanner for Agent Skills
This repository is a public security-focused scanning tool intended to analyze and assess AI agent skills for potential issues, quality concerns, and vulnerabilities. It acts as a scanner that inspects Agent Skills packages to flag structural problems, inconsistencies, or security flaws before they are deployed or integrated into agent workflows. Because agent skills can contain executable instructions and logic, scanning them for risky patterns is essential to prevent inadvertent exploitation when used by intelligent systems. The tool supports maintainers and community contributors in automating quality checks and enforcing conventions across skill sets in a standardized way. ... -
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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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ELisp Tree-sitter
Tree-sitter bindings for Emacs Lisp
...It aims to be the foundation for a new breed of Emacs packages that understand code structurally. Faster, fine-grained code highlighting. More flexible code folding. Structural editing (like Paredit, or even better) for non-Lisp code. More informative indexing for imenu. The author of Tree-sitter articulated its merits a lot better in this Strange Loop talk. The minor mode tree-sitter-mode provides a buffer-local syntax tree, which is kept up-to-date with changes to the buffer’s text. Run M-x tree-sitter-hl-mode to replace the regex-based highlighting provided by font-lock-mode with tree-based syntax highlighting. -
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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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LLM-Pruner
On the Structural Pruning of Large Language Models
...LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward structures. The framework relies on gradient-based analysis to determine which parameters contribute least to model performance, enabling targeted structural pruning rather than simple weight removal. After pruning, the framework applies lightweight fine-tuning methods such as LoRA to recover performance using relatively small datasets and short training times. -
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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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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. ... -
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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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GitNexus
Zero-Server Code Intelligence Engine
GitNexus is a zero-server code intelligence engine that builds an interactive knowledge graph of a codebase entirely within the user’s browser. The tool allows developers to drop in a GitHub repository or ZIP archive and automatically generate a relational map of files, dependencies, and structural relationships. Its core concept centers on precomputed relational intelligence, enabling AI systems to retrieve comprehensive context with minimal queries. GitNexus includes a built-in Graph RAG agent that helps users explore and understand complex repositories through intelligent navigation and querying. Because the system runs client-side, it emphasizes privacy and portability without requiring backend infrastructure. ... -
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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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AlphaFold 3
AlphaFold 3 inference pipeline
...This repository provides the complete inference pipeline for running AlphaFold 3, though access to the model parameters is restricted and must be obtained directly from Google under specific terms of use. The system is designed for scientific research applications in structural biology, biochemistry, and bioinformatics, enabling accurate modeling of proteins, ligands, and covalent modifications. Users can perform local predictions via Docker containers, integrating AlphaFold 3’s inference process with provided JSON input configurations. The software includes flexible options for running both data preprocessing and GPU-accelerated inference, allowing users to adapt to available computational resources.
