Showing 21 open source projects for "learning language"

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  • 1
    PostgresML

    PostgresML

    The GPU-powered AI application database

    ...Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. ...
    Downloads: 0 This Week
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  • 2
    CubeCL

    CubeCL

    Multi-platform high-performance compute language extension for Rust

    CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL.
    Downloads: 0 This Week
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  • 3
    rust-by-practice

    rust-by-practice

    Challenging examples, exercises and projects

    rust-by-practice is a hands-on, exercise-oriented learning resource for the Rust programming language that takes users beyond theory into real code challenges and practical patterns. Rather than simply listing Rust syntax or language features, it structures its content around progressively complex problems, each designed to illustrate a core Rust concept such as ownership, borrowing, lifetimes, traits, concurrency, zero-cost abstractions, and safe systems programming idioms. ...
    Downloads: 0 This Week
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  • 4
    Anki

    Anki

    Anki is a smart spaced repetition flashcard program

    ...It supports a wide variety of media types (text, images, audio, LaTeX), advanced scheduling algorithms (SM‑2, FSRS), and extensibility via add‑ons. It’s widely used for education, language learning, medical training, and more.
    Downloads: 89 This Week
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  • 5
    rust-bert

    rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models

    rust-bert is a Rust-based implementation of transformer-based natural language processing models that provides ready-to-use pipelines for tasks such as text classification, summarization, and question answering. The project ports many capabilities of the Hugging Face Transformers ecosystem into the Rust programming language. It allows developers to run state-of-the-art NLP models like BERT, GPT-2, and DistilBERT directly within Rust applications while maintaining high performance and memory efficiency. ...
    Downloads: 0 This Week
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  • 6
    Rust Course

    Rust Course

    It has been the world's most popular language for 8 consecutive years

    The Rust语言圣经 (Rust Language Bible) is a comprehensive, Chinese-language Rust tutorial that aims to take learners from beginner concepts to advanced mastery. The course is carefully designed with a structured catalog, vivid and approachable language, and an engaging style that avoids the dry and mechanical tone of many technical books. It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance optimization, linked list implementations, async programming with Tokio, standard library internals, Cargo usage, and WebAssembly development. ...
    Downloads: 1 This Week
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  • 7
    Korvus

    Korvus

    Korvus is a search SDK that unifies the entire RAG pipeline

    Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. By leveraging PostgresML and vector extensions such as pgvector, Korvus...
    Downloads: 0 This Week
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  • 8
    MusicGPT

    MusicGPT

    Generate music based on natural language prompts using LLMs

    MusicGPT is an open-source application designed to generate music from natural language prompts using locally executed artificial intelligence models. The software allows users to run advanced music generation systems directly on their own devices without requiring heavy dependencies such as Python or full machine learning frameworks. Instead, it provides a lightweight environment capable of executing music generation models locally on CPUs or GPUs while maintaining strong performance across operating systems including Windows, macOS, and Linux. ...
    Downloads: 1 This Week
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  • 9
    shimmy

    shimmy

    Python-free Rust inference server

    The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture...
    Downloads: 4 This Week
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  • 10
    Gameboy

    Gameboy

    Full featured Cross-platform GameBoy emulator by Rust

    Mohanson GameBoy is a minimalist Game Boy emulator project focused on clarity, experimentation, and educational value rather than full compatibility or performance optimization. It is designed as a clean implementation of the Game Boy architecture, typically written in a high-level language such as Python or Rust depending on the version, making it approachable for developers studying emulator design. The project emphasizes core components such as CPU instruction decoding, memory management, and basic graphics rendering, providing insight into how the original hardware operates. It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. ...
    Downloads: 0 This Week
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  • 11
    Comprehensive Rust

    Comprehensive Rust

    This is the Rust course used by the Android team at Google

    Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust,...
    Downloads: 2 This Week
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  • 12
    Rust Training Books

    Rust Training Books

    Beginner, advanced, expert level Rust training material

    Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. ...
    Downloads: 0 This Week
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  • 13
    Moss

    Moss

    Rust Linux-compatible kernel

    ...Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. It aims to serve as both a learning tool for systems programming students and a testbed for advanced research in kernel architecture, enabling experimentation with new ideas in process isolation, resource management, and driver models.
    Downloads: 0 This Week
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  • 14
    k23

    k23

    Experimental WASM Microkernel Operating System

    k23 is a microkernel-based operating system project written in Zig, an emerging systems programming language focused on safety, simplicity, and performance. k23 explores the design of modern OS features like message-passing, memory protection, and modular service construction using Zig’s powerful low-level capabilities. It is an experimental and educational project intended to show how Zig can be used for robust, readable systems programming while enabling contributors to rethink traditional...
    Downloads: 0 This Week
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  • 15
    macroquad

    macroquad

    Cross-platform game engine in Rust

    macroquad is a lightweight, easy-to-use game library for the Rust programming language, offering developers a relatively simple and streamlined path to build games across platforms. The library is heavily inspired by simpler game frameworks (like raylib), but brings the ergonomic and safety features of Rust to 2D — and some minimal 3D — development. With Macroquad, you don’t need to worry about low-level graphics plumbing: it handles window and input management, rendering, UI, and more,...
    Downloads: 1 This Week
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  • 16

    7Bee

    A scripting anguage interpretor mostly for building projects

    7Bee is a scripting program with main purpose to execute project building scripts. However it isn't limited to the purpose yet and can be used for any other tasks where a scripting language makes sense. 7Bee scripting language is an XML language syntax based, so a learning curve should be a reasonably short. Read more about 7Bee scripting language under doc directory for the project.
    Downloads: 0 This Week
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  • 17
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 1 This Week
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  • 18
    SIG Rust

    SIG Rust

    Rust language bindings for TensorFlow

    SIG Rust provides idiomatic Rust bindings for TensorFlow, making it possible for developers to work with TensorFlow functionality from within the Rust programming language. Rather than replacing TensorFlow itself, it acts as an integration layer that connects Rust applications to the TensorFlow C API. The repository is designed for developers who want Rust’s performance, safety, and systems programming strengths while still accessing TensorFlow’s machine learning capabilities. It includes setup instructions that explain how the crate can automatically download or compile the required TensorFlow shared libraries, which lowers the barrier to getting started. ...
    Downloads: 0 This Week
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  • 19
    aigc

    aigc

    An e-book about the real-world application of LLM

    "Building Large Language Model Applications: Application Development and Architecture Design" is an open source e-book about the real-world application of LLM. It introduces the basics and applications of large language models, as well as how to build your own models. These include writing, developing, and managing prompts, exploring what the best large language models can bring, and pattern and architecture design for LLM application development.
    Downloads: 0 This Week
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  • 20
    llm

    llm

    An ecosystem of Rust libraries for working with large language models

    llm is an ecosystem of Rust libraries for working with large language models - it's built on top of the fast, efficient GGML library for machine learning. The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models.
    Downloads: 2 This Week
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  • 21
    Weld

    Weld

    High-performance runtime for data analytics applications

    ...Weld is particularly useful for workloads involving large-scale data processing in frameworks such as NumPy, Spark, and TensorFlow. The language includes built-in constructs for expressing data-parallel operations, enabling efficient execution on modern hardware architectures. By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines.
    Downloads: 0 This Week
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