13 dépôts
Collections of pre-written code modules that provide optimized functions for performing advanced mathematical and scientific calculations.
Explore 13 awesome GitHub repositories matching scientific & mathematical computing · Computational Libraries. Refine with filters or upvote what's useful.
This project is a community-driven directory that aggregates essential software projects and educational content for the Node.js ecosystem. It functions as a centralized knowledge base and discovery index, designed to simplify the navigation of a fragmented technical landscape by providing a structured collection of high-quality links, tools, and learning materials. The repository distinguishes itself through a decentralized, peer-reviewed curation model. By utilizing standard version control workflows and pull requests, the community ensures that all listed resources undergo human verificati
Locate robust libraries for complex calculations, statistical analysis, and advanced numerical operations.
FFmpeg is a cross-platform multimedia framework designed for the recording, conversion, and streaming of audio and video content. It functions as a comprehensive toolkit that provides both a command-line utility for direct media manipulation and a collection of low-level libraries for integration into custom applications. At its core, the project utilizes a packet-based stream engine and a format-agnostic abstraction layer to handle diverse media standards, containers, and network protocols. The framework distinguishes itself through a modular, graph-based filter execution model that allows f
Executes specialized arithmetic and numerical operations optimized for multimedia processing tasks and data analysis.
This project is a machine learning array framework and tensor computation library designed for high-performance numerical computing. It provides a comprehensive suite of tools for constructing and training neural networks, featuring an automatic differentiation engine that facilitates gradient-based optimization and complex mathematical modeling. The library distinguishes itself through a unified memory architecture that allows data to be shared across CPU and GPU devices without explicit copies, significantly reducing data movement overhead. Its execution model relies on a lazy evaluation en
Calculates inverse tangents, cosines, and sines for each element in an array.
LibGDX is a Java-based framework designed for cross-platform game development, enabling the creation and deployment of 2D and 3D games across desktop, mobile, and web environments from a single codebase. It functions as a comprehensive library that abstracts hardware-accelerated graphics, audio, input, and file system access, providing a unified interface for developers to manage game logic and application lifecycles. The framework distinguishes itself through a high-performance architecture that prioritizes efficiency and native interoperability. It utilizes a batch-oriented graphics pipelin
Provides optimized trigonometric utilities and unit conversion functions for geometric operations.
GSAP is a comprehensive JavaScript animation library designed for orchestrating complex motion sequences and interactive user interfaces. It provides a robust property-interpolation engine that calculates intermediate values for CSS styles, attributes, and numeric properties, enabling smooth visual transitions across web elements. The framework is built on a core architecture that manages animation lifecycles, timeline-based sequence orchestration, and virtual property interception to ensure precise control over motion. The library distinguishes itself through a modular, plugin-based extensib
Includes helper functions for common animation math tasks like value clamping, range interpolation, and array shuffling.
CNTK is a deep learning toolkit used for the design, construction, and training of neural networks. It defines model architectures as computational graphs and optimizes network parameters using an automatic differentiation engine and stochastic gradient descent. The project emphasizes large scale model distribution, spreading training workloads across multiple hardware nodes and GPUs. It features specialized support for dynamic sequence handling, allowing filters to be convolved across both spatial and dynamic sequence axes to process data of variable lengths. The toolkit provides hardware-a
Includes trigonometric operations like tangent and arctangent within its mathematical transformation pipeline.
Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
Provides trigonometric functions for advanced analytical processing within SQL queries.
This project is a comprehensive library for numerical linear algebra and scientific computing, designed to provide optimized routines for matrix decomposition, statistical modeling, and high-performance data analysis. It serves as both a toolkit for solving complex linear systems and an educational resource for understanding the fundamental algorithms behind matrix factorizations and numerical solvers. The library distinguishes itself through a focus on randomized numerical linear algebra, utilizing probabilistic algorithms and approximate methods to perform dimensionality reduction and matri
Provides a comprehensive library of optimized mathematical routines for high-performance numerical tasks.
This project is a header-only C++ library designed for graphics mathematics, providing a comprehensive suite of vector, matrix, and quaternion types. It is built using template metaprogramming to generate mathematical primitives at compile time, eliminating the need for precompiled binary libraries and allowing for direct integration into existing build systems. The library is distinguished by its strict adherence to the OpenGL Shading Language specification, ensuring that mathematical results remain consistent across both CPU and GPU code. It provides specialized utilities for managing float
Provides optimized trigonometric functions for graphics applications, prioritizing execution speed over high-precision accuracy.
langchaingo is an LLM application framework for Go designed for building language model-powered applications and autonomous agents. It serves as an orchestration library and tool integration framework that allows developers to link prompt sequences and model calls into complex, multi-step workflows. The project provides a toolkit for implementing retrieval-augmented generation pipelines by processing unstructured documents and retrieving relevant context via vector search. It includes a dedicated integration layer for indexing high-dimensional embeddings and performing similarity searches acr
Integrates computational utilities to solve mathematical problems with precision instead of relying on token prediction.
zlib is a lossless data compression library that implements the deflate compression algorithm, combining LZ77 sliding window and Huffman coding. It provides the core compression and decompression engines, along with support for gzip, zlib, and raw deflate stream formats, enabling data to be compressed and restored without any loss of information. The library offers a range of capabilities for handling compressed data, including single-call memory and file operations, as well as incremental stream-based processing for working with data larger than available memory. It includes mechanisms for a
Ships a dedicated CRC computation library with table-driven algorithms and custom CRC generation.
This project is a comprehensive suite of Java-based implementations for standard computer science algorithms, data structures, graph analysis, and mathematical computations. It provides a collection of reference implementations for fundamental data containers, including trees, heaps, maps, tries, and lists, alongside common sorting and searching routines. The library includes a specialized suite for graph network analysis, covering shortest paths, minimum spanning trees, and maximum flow. It also provides mathematical utilities for prime testing, modular arithmetic, and Fast Fourier Transform
Implements advanced mathematical utilities including prime testing, modular arithmetic, and Fast Fourier Transforms.
This project is an ECMAScript 2015 reference guide and JavaScript language cheat sheet. It provides a concise summary of the language specifications, syntax updates, and new features introduced in the 2015 standard. The guide serves as a technical overview of modern language patterns used to manage modular code structures and asynchronous operations. It functions as a reference for implementing current coding standards and studying core updates to the language. The content covers a wide range of capabilities, including asynchronous programming, object modeling, and module management. It deta
Details the use of advanced mathematical utilities introduced in ES6, such as hyperbolic functions and cubic roots.