Showing 593 open source projects for "language"

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  • 1
    Qwerty Learner

    Qwerty Learner

    Words learning and English muscle memory training software

    ...Users must retype incorrectly entered words, reducing the chance of reinforcing spelling mistakes. The application includes dictionaries for major English exams, school levels, business English, programming terms, and several language-specific APIs. Phonetic symbols and pronunciation help learners connect spelling with sound. Dictation exercises, typing speed, and accuracy statistics provide additional review and progress feedback. It runs as a React web application, can be self-hosted, and is also available through a Visual Studio Code extension.
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  • 2
    voice-input-src

    voice-input-src

    Documents and exposes generated source for menu-bar workflows

    ...It uses Apple's streaming Speech Recognition framework and requires macOS 14 or newer. The application supports English, Simplified Chinese, Traditional Chinese, Japanese, and Korean, with the chosen language stored locally. A floating capsule displays a live waveform and expanding transcription text while recording. Clipboard restoration and temporary input-method switching make text injection safer for CJK users. An optional OpenAI-compatible model can conservatively correct obvious recognition errors before the final text is inserted.
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  • 3
    DevOps Roadmap 2026

    DevOps Roadmap 2026

    DevOps Roadmap for 2026. with learning resources

    DevOps Roadmap is a structured 2026 learning guide for people preparing for DevOps engineering roles. It presents the field as a sequence of practical competencies rather than a list of fashionable products. The path begins with Git, a programming language, Linux, scripting, networking, security, and server administration. It then advances through containers, Kubernetes, infrastructure as code, CI/CD, monitoring, observability, cloud platforms, and software engineering practices. A bonus section introduces DevSecOps fundamentals, while additional lists recommend tools and books. Most sections include free courses, documentation, videos, and interactive references. ...
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  • 4
    jlens

    jlens

    Companion code for the global workspace interpretability paper

    Jacobian Lens is Anthropic’s reference implementation for examining what a language model’s internal activations are inclined to produce as text. It transports residual-stream vectors from selected layers and positions into the final-layer basis using an averaged input-output Jacobian. The transformed vectors are decoded through the model’s own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from parallel fitting jobs. ...
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  • 5
    Cap'n Proto

    Cap'n Proto

    Serialization/RPC system - core tools and C++ library

    Cap’n Proto is a high-performance serialization and RPC system with core tools and a C++ library. It is designed as a binary data interchange format that can replace JSON, Protocol Buffers, or similar schema-based formats in performance-sensitive systems. The project uses schemas to define structured data and interfaces, then generates code for working with those messages efficiently. Its RPC model is capability-based, which makes it suitable for distributed systems that need object-style...
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  • 6
    jamesob's guide to running SOTA LLMs

    jamesob's guide to running SOTA LLMs

    Everything I know about running LLMs locally

    jamesob's guide to running SOTA LLMs is a practical guide and configuration repository for running high-end language models on local hardware. It documents one developer’s local LLM setup, including hardware choices, GPU layout, storage, PCIe switches, kernel settings, and serving workflows. The repository compares budget levels ranging from dual RTX 3090 systems to high-end multi-GPU workstations with very large VRAM pools. It includes ready-to-run serving configurations for selected models and local speech-to-text workloads. ...
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  • 7
    pytudes

    pytudes

    Python programs, usually short, of considerable difficulty

    ...The name is inspired by musical études, meaning compact exercises designed to build mastery through focused practice. The repository includes readable solutions, experiments, notebooks, and scripts that cover algorithms, puzzles, probability, search, language processing, simulation, and mathematical reasoning. It is useful for programmers who want to study elegant Python code while learning how experienced developers approach problem solving. Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies.
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  • 8
    LLPhant

    LLPhant

    A comprehensive PHP Generative AI Framework

    LLPhant is a PHP-based generative AI framework designed to bring large language model capabilities into modern PHP applications with a structure inspired by frameworks like LangChain. It provides developers with a set of abstractions for building AI-powered features such as chat systems, retrieval pipelines, and automated workflows while remaining simple enough to integrate into existing Symfony or Laravel projects.
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  • 9
    PromptingTools.jl

    PromptingTools.jl

    Streamline your life using PromptingTools.jl

    PromptingTools.jl is a Julia-based toolkit designed to simplify prompt engineering and unify interactions with multiple large language model providers through a consistent interface. It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. ...
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  • 10
    LangChain.dart

    LangChain.dart

    Build LLM-powered Dart/Flutter applications

    LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. It is designed with developer experience in mind, offering strongly typed APIs, modular packages, and seamless integration into Flutter applications. ...
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  • 11
    Lew UI

    Lew UI

    A beautiful component library based on vue3

    ...Lew UI includes a variety of components for building interactive interfaces, such as buttons, forms, popovers, and data-driven elements, all styled with a consistent design language. Its architecture emphasizes simplicity and ease of integration, allowing developers to quickly add components by importing styles and modules into their projects.
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  • 12
    List of independent blogs in Chinese

    List of independent blogs in Chinese

    List of independent blogs in Chinese

    List of independent blogs in Chinese is a curated open repository that aggregates and maintains a large list of independent Chinese-language blogs across technology, design, and personal knowledge domains. The project aims to promote the independent blogging ecosystem by making it easier for readers to discover high-quality personal sites outside major content platforms. It is community-driven, allowing contributors to submit and update blog entries so the directory remains current and diverse. ...
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  • 13
    jstraining

    jstraining

    Training materials designed to teach JavaScript

    jstraining is a curated set of training materials designed to teach JavaScript with a practical, hands-on approach. It organizes slides, exercises, and example projects into a progressive curriculum that moves from language fundamentals to tooling and best practices. Learners write code early and often, reinforcing concepts like functions, objects, modules, and asynchronous control flow. The repository encourages modern syntax and patterns while keeping examples small enough to digest in a classroom or workshop setting. It can be adapted for short bootcamps, brown-bag sessions, or self-guided study. ...
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  • 14
    Spectre.Console

    Spectre.Console

    Library that makes it easier to create beautiful console applications

    ...Heavily inspired by Python’s Rich library, it provides advanced styling, layout, and input capabilities for modern terminal UIs. Supports tables, grids, panels, and a Rich inspired markup language. Supports the most common SRG parameters when it comes to text styling such as bold, dim, italic, underline, strikethrough, and blinking text. Supports 3/4/8/24-bit colors in the terminal. The library will detect the capabilities of the current terminal and downgrade colors as needed. Written with unit testing in mind.
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  • 15
    Images.jl

    Images.jl

    An image library for Julia

    JuliaImages (source code) hosts the major Julia packages for image processing. Julia is well-suited to image processing because it is a modern and elegant high-level language that is a pleasure to use, while also allowing you to write "inner loops" that compile to efficient machine code (i.e., it is as fast as C). Julia supports multithreading and, through add-on packages, GPU processing. JuliaImages is a collection of packages specifically focused on image processing. It is not yet as complete as some toolkits for other programming languages, but it has many useful algorithms. ...
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  • 16
    glMatrix

    glMatrix

    Javascript Matrix and Vector library for High Performance WebGL apps

    Javascript has evolved into a language capable of handling realtime 3D graphics, via WebGL, and computationally intensive tasks such as physics simulations. These types of applications demand high performance vector and matrix math, which is something that Javascript doesn't provide by default. glMatrix to the rescue! glMatrix is designed to perform vector and matrix operations stupidly fast!
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  • 17
    Hamcrest PHP

    Hamcrest PHP

    The PHP Hamcrest implementation

    Hamcrest is a matching library originally written for Java, but subsequently ported to many other languages. hamcrest-php is the PHP port of Hamcrest and essentially follows a literal translation of the original Java API for Hamcrest, with a few Exceptions, mostly down to PHP language barriers. Unless it would be non-semantic for a matcher to do so, hamcrest-php allows dynamic typing for it's input, in "the PHP way". Exception are where semantics surrounding the type itself would suggest otherwise, such as stringContains() and greaterThan(). Several matchers have not been ported because they don't make sense or don't apply in PHP. ...
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  • 18
    ChrysaLisp

    ChrysaLisp

    Parallel OS, with GUI, Terminal, OO Assembler, Class libraries

    ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host...
    Downloads: 1 This Week
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  • 19
    cuda-oxide

    cuda-oxide

    cuda-oxide is an experimental Rust-to-CUDA compiler

    ...It works as a Rust-to-CUDA compiler path that lets developers write SIMT GPU kernels in idiomatic Rust instead of using a separate CUDA C++ workflow. The project compiles standard Rust code directly to PTX, avoiding DSLs, source-to-source translation, or foreign-language bindings. It supports a single-source programming style where host and device code can live together and be built through Cargo-oriented tooling. cuda-oxide is still experimental, so it is best suited for research, early exploration, and developers interested in Rust-based GPU programming. Its main value is giving Rust developers a more direct path into NVIDIA GPU kernels while preserving familiar Rust syntax and tooling concepts.
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  • 20
    Ollama Swift Client

    Ollama Swift Client

    A Swift client library for interacting with Ollama

    Ollama Swift Client is a native Swift client library that enables developers to interact with Ollama models directly from Apple platforms such as macOS, iOS, and iPadOS. It is designed to feel natural within the Swift ecosystem, using modern language features like async/await and strong typing to provide a clean and intuitive developer experience. The library wraps the Ollama REST API into structured Swift calls, making it easy to perform tasks such as chat completion, text generation, and embeddings without dealing with raw HTTP requests. It supports streaming responses, allowing applications to display generated content progressively, which is especially useful for chat interfaces. ...
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  • 21
    Ollama-Laravel Package

    Ollama-Laravel Package

    Ollama-Laravel is a Laravel package providing seamless integration

    Ollama-Laravel Package is a PHP package designed to integrate local large language models into Laravel applications through a clean and idiomatic interface. It abstracts the Ollama API into a developer-friendly facade, allowing Laravel developers to interact with models using familiar patterns such as service containers, configuration files, and fluent method chaining. The package supports a wide range of AI capabilities including text generation, chat-based interactions, embeddings, and multimodal vision analysis, making it suitable for both simple features and complex AI-driven systems. ...
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  • 22
    Ollama4j

    Ollama4j

    A simple Java library for interacting with Ollama server

    Ollama4j is a lightweight Java library designed to simplify interaction with the Ollama server, enabling developers to integrate locally hosted large language models into Java applications with minimal friction. It provides a clean and developer-friendly API that abstracts the underlying REST communication, allowing users to focus on building features rather than handling low-level networking details. The library supports a wide range of core capabilities, including chat-based interactions, text generation, embeddings, and model management, making it suitable for both simple applications and more advanced AI-driven systems. ...
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  • 23
    Ollama-rs

    Ollama-rs

    A simple and easy-to-use library for interacting with the Ollama API

    Ollama-rs is a Rust library designed to provide a simple and efficient interface for interacting with the Ollama API, enabling developers to integrate local large language models into Rust applications. It follows the official Ollama API closely, ensuring compatibility while offering an idiomatic Rust experience with strong typing and asynchronous execution. The library supports a wide range of operations, including text generation, chat interactions, embeddings, and model management, making it suitable for both simple applications and more advanced AI workflows. ...
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  • 24
    Spring AI

    Spring AI

    An Application Framework for AI Engineering

    ...It focuses on production readiness by offering features such as configuration management, observability, and integration with Spring Boot applications. Spring AI also includes support for retrieval-augmented generation, enabling applications to connect language models with structured and unstructured data sources. Its architecture encourages modular design, making it easier to extend or swap components without rewriting large parts of the system.
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  • 25
    Writer Framework

    Writer Framework

    No-code in the front, Python in the back. An open-source framework

    ...It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. The system is designed to support rapid prototyping, enabling developers to iterate on UI and backend logic independently and deploy changes quickly.
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