Projects sharing features with Geometry Central

This project provides a collection of algorithmic implementations for computational geometry, focusing on spatial analysis, mesh construction, and geometric data processing. It serves as a toolkit for generating and manipulating complex shapes, surfaces, and spatial relationships within interactive three-dimensional applications. The library distinguishes itself through a suite of mathematical functions designed for procedural mesh generation and geometric partitioning. It includes specialized routines for calculating convex hulls, performing boolean operations on polygons, and detecting inte

Scanpy is a Python library for the preprocessing, visualization, and analysis of large-scale single-cell gene expression datasets. It serves as a toolkit for single-cell RNA sequencing analysis, providing a framework to process and analyze genomic data from individual cells to identify biological markers and cell types. The library includes a scalable data processing pipeline for cleaning and preparing genomic data, a clustering framework for grouping cells with similar expression profiles, and a system for modeling transitions between cell states to reconstruct biological development and dif

MeshLab is an open-source 3D mesh processing system designed for editing and analyzing unstructured triangular meshes. It functions as a triangular mesh editor, a model visualization suite, and a conversion tool for transforming 3D mesh data between various file formats. The software provides tools for cleaning, healing, and optimizing large 3D models generated from raw digitization and scanning data. It enables the preparation of models for physical 3D printing and the application of surface textures to evaluate the visual appearance of digital models. The system covers a broad range of cap

Ceres Solver is a C++ library for numerical optimization, specializing in non-linear least squares and unconstrained optimization problems. It serves as a framework for automatic differentiation and robust curve fitting, providing tools to solve large-scale mathematical models. The library is distinguished by its bundle adjustment capabilities, which exploit sparse matrix structures to refine 3D scene points and camera parameters. It utilizes dual-number automatic differentiation to compute derivatives of cost functions, removing the need for manual Jacobian derivation. The project covers a

NumCpp is a C++ framework and numerical computing library that provides a toolkit for multi-dimensional array management and mathematical routines. It functions as a C++ implementation of the NumPy ecosystem, offering a scientific computing framework for managing tensors and performing complex algebraic equations. The project enables high-performance array manipulation within a C++ environment without relying on a Python runtime. It distinguishes itself by providing a NumPy-like interface for executing linear algebra, managing multi-dimensional data structures, and performing numerical proces

This project is a single-producer single-consumer concurrent queue for C++ designed for lock-free data exchange between threads. It provides a thread-safe mechanism to transfer data without the use of mutexes or locks. The queue is implemented as a contiguous circular buffer that supports dynamic capacity growth to prevent data loss when the queue reaches its limit. It utilizes atomic synchronization and wait-free index management to coordinate data access between the writing and reading threads. The library covers inter-thread communication and buffer management, offering both blocking and

This project is a general purpose library for the .NET ecosystem, providing a collection of reusable helper methods and APIs for common programming tasks. It encompasses a UI component library for cross-platform development, a toolkit for MVVM architecture, and specialized utilities for memory management and native interoperability. The library distinguishes itself through high-performance memory abstractions, such as pooled buffers and contiguous two-dimensional memory spans, designed to reduce garbage collection pressure. It also provides native interop wrappers and bindings to facilitate d

Velox is a high-performance C++ query execution engine and columnar data processing library. It serves as a composable framework for implementing analytical query engines, providing a vectorized expression evaluator and a toolkit for data management systems. The project is distinguished by its use of vectorized columnar execution and arena-based memory allocation to process large-scale datasets. It features specialized optimizations such as broadcast join table caching, dynamic filter push-down, and dictionary encoding to reduce memory overhead and accelerate analytical reads. The engine cov

PyTorch3D is a 3D geometric deep learning library and mesh processing toolkit designed for learning from point clouds and complex 3D surface geometries. It provides a collection of reusable components and data structures for deep learning with 3D data, including a framework for training and evaluating neural radiance fields to enable photorealistic view synthesis. The project features a differentiable 3D renderer that converts meshes and point clouds into 2D images while allowing gradients to flow back into the geometry and textures. This enables 3D shape optimization, where mesh geometry, te

Pixel is a 2D game library and graphics engine for the Go programming language. It provides a hardware-accelerated renderer for drawing sprites, geometric shapes, and text, utilizing an optimized system of batching and transformation matrices. The project functions as a comprehensive toolkit for two-dimensional interactive applications, combining a graphics engine with a 2D vector math library for affine transformations and coordinate space projections. It includes a dedicated input manager that tracks keyboard presses and mouse movements using a polling-based system rather than asynchronous

Surge is a Swift library for high-performance numerical analysis, linear algebra, digital signal processing, and accelerated image manipulation. It utilizes the Accelerate framework to provide hardware-accelerated tools for matrix mathematics and signal processing. The library provides specialized capabilities for digital signal processing, including convolution, signal similarity analysis through cross-correlation, and domain transformations using fast Fourier transforms. It also includes a suite of tools for the rapid transformation and analysis of pixel buffers and image data. Beyond sign

This project is a numerical computing library designed for scientific and engineering mathematical operations. It functions as a comprehensive linear algebra framework, a statistical analysis library, and a toolkit for mathematical optimization and numerical integration. The library is distinguished by its provider-based native acceleration, which allows managed code to be swapped for platform-native binary libraries to increase the performance of computationally intensive routines. It also supports a hybrid approach to matrix storage, implementing separate strategies for dense and sparse mat

LAPACK is a comprehensive library of Fortran routines designed for high-performance numerical analysis and linear algebra. It serves as a foundational scientific computing framework, providing standardized procedures for solving systems of linear equations, eigenvalue problems, and least squares approximations. The library distinguishes itself through a hierarchical routine abstraction that organizes mathematical operations into distinct levels of complexity. It utilizes block-partitioned matrix algorithms and a column-major memory layout to optimize data locality and hardware efficiency. By

This project is a collection of reference implementations for algorithms, mathematics, cryptography, compression, and machine learning written in C#. It serves as an educational library providing standard implementations of sorting, searching, and graph theory algorithms. The repository covers a wide range of computational domains, including combinatorial optimization for constraint satisfaction and scheduling, as well as symmetric and classical cryptographic ciphers. It also provides reference code for lossless data compression techniques and fundamental machine learning primitives such as r

Veloren is an open-source multiplayer RPG featuring a voxel-based action adventure in a procedurally generated fantasy world. It is built upon a voxel game engine that supports 3D rendering via Vulkan and Metal, utilizing a procedural world generator to create geography and ecosystems based on erosion algorithms and temperature maps. The project is distinguished by a sandboxed plugin system using WebAssembly, which allows for the addition of new game logic and equipment without recompiling the core engine. It also features a dedicated game server architecture designed to synchronize state, ma

Instant Meshes is a 3D surface remesher and computational geometry tool designed to generate optimized polygonal grids over existing three-dimensional models. It functions as a field-aligned mesh generator that computes orientation and position fields to ensure the resulting mesh follows the geometric flow and contours of a target surface. The tool distinguishes itself through an interactive mesh editor that allows for the manual refinement of these mathematical fields. Users can employ brush tools to adjust orientation and position fields, steering the mesh topology in real time through iter

NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat

MuJoCo is a physics simulation engine designed for the dynamics of multi-joint articulated structures. It provides a computational framework for calculating the forces, velocities, and physical interactions of complex models within a virtual environment, supporting research in robotics, biomechanics, and machine learning. The engine utilizes a constraint-based dynamics solver and recursive algorithms to manage the motion of articulated systems. It includes a native graphical interface for real-time visualization, allowing users to inspect physical behaviors and contact dynamics as they occur.

yyjson is a high-performance C library for parsing, serializing, and manipulating JSON data structures. It functions as a memory-efficient data tool that utilizes custom memory pools and contiguous block allocation to minimize fragmentation and overhead. The project distinguishes itself as a SIMD JSON processor, using hardware-accelerated vector instructions for rapid string validation and parsing. It provides a toolkit for querying, modifying, and patching nested JSON objects and arrays through pointer-based access and path expressions. The library covers a broad range of data manipulation

The repository provides a collection of solved algorithmic challenges and data structure implementations written in JavaScript, designed for technical interview preparation and computer science study. The content is organized as a curriculum covering standard programming problems without external dependencies. The material encompasses fundamental computer science data structures such as trees, heaps, tries, linked lists, and custom collections, alongside classical algorithms addressing arrays, strings, matrices, and graphs. Implementations also cover specialized algorithmic techniques includi

PhysicsJS is a JavaScript physics engine and 2D rigid body simulator designed to calculate the collisions, constraints, and dynamics of physical bodies. It functions as a modular physics library for simulating the movement and interaction of circular bodies and convex polygons. The engine implements constraint-based dynamics to enforce distance and angle constraints between objects, enabling the creation of articulated structures and linked physics. It utilizes impulse-based resolution to handle collisions and prevent objects from passing through one another. The library provides capabilitie

This project is a quantitative finance library providing implementations of numerical methods for financial engineering. It focuses on derivative pricing, portfolio optimization, stochastic simulation, and volatility calibration. The library includes tools for calculating option values using Monte Carlo simulations, binomial trees, and Fourier inversion. It provides a framework for fitting volatility smiles to market data and a simulation engine for generating asset price paths via geometric Brownian motion and jump-diffusion models. The codebase covers broader numerical analysis capabilitie

CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom

DifferentialEquations.jl is a comprehensive numerical library designed for solving ordinary, stochastic, delay, and algebraic differential equations. It functions as a high-performance solver suite that integrates scientific machine learning, probabilistic programming, and automated differentiation into a unified framework. By leveraging multiple dispatch and symbolic-numeric integration, the library provides a flexible environment for complex mathematical modeling and simulation. The project distinguishes itself through its ability to bridge traditional numerical analysis with modern machine