Showing 66 open source projects for "e-learning"

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  • 1
    Anya

    Anya

    A malware analysis platform built in Rust

    Anya is a privacy-first static malware analysis tool for Windows, Linux, and macOS. It combines PE, ELF, and Mach-O binary analysis with MITRE ATT&CK mapping, confidence-based risk scoring, and plain-English explanations. All offline, with zero network calls. Built for analysts and students alike, it ships as both a CLI and a desktop GUI.
    Downloads: 7 This Week
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  • 2
    Luminal

    Luminal

    Deep learning at the speed of light

    Luminal is a framework designed to accelerate and simplify the development of systems-level data applications by using a typed, functional, and streaming-first approach. Instead of treating data processing as a series of ad-hoc scripts, Luminal models transformations as strongly typed building blocks that can be composed into reliable, scalable pipelines. The project emphasizes correctness and performance by requiring explicit types for the data flowing through transformations, reducing...
    Downloads: 1 This Week
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  • 3

    npadcalc

    Desktop RPN calculator

    A desktop RPN calculator app, optimized for use with full-size keyboard. Written in Rust with gtk-rs GUI. This app was developed as a learning project, but one may still find it useful for performing simple calculations.
    Downloads: 0 This Week
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  • 4
    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...
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    Downloads: 11 This Week
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    dfdx

    dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

    Deep learning in Rust, with shape-checked tensors and neural networks. Ergonomics & safety focused deep learning in Rust.
    Downloads: 4 This Week
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  • 6
    SIG Rust

    SIG Rust

    Rust language bindings for TensorFlow

    ...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. The project also supports environments where TensorFlow is already installed, giving developers more flexibility in how they configure their systems. ...
    Downloads: 0 This Week
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  • 7
    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: 2 This Week
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  • 8
    Felix OS

    Felix OS

    Experimental operating system written in Rust

    ...Built from the ground up with Rust’s strong safety guarantees, felix aims to strike a balance between low-level hardware access and modern software practices. It runs on x86_64 platforms via QEMU and includes a basic shell and ELF binary loader, making it an excellent resource for learning OS fundamentals.
    Downloads: 2 This Week
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  • 9
    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. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. ...
    Downloads: 1 This Week
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  • 10
    Random fun

    Random fun

    Notebooks and various random fun

    Random Fun is a personal collection of experimental scripts and Jupyter notebooks covering machine learning, mathematics, neural networks, and programming ideas. It is not a single application, but a sandbox for compact demonstrations and exploratory work. Included notebooks examine topics such as MicroGrad-style autodiff, mixture density networks, evolution strategies, floating-point behavior, and KNN versus SVMs. Several notebooks explore minimal character-level recurrent neural networks and transformer-related ideas. ...
    Downloads: 0 This Week
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  • 11
    Fuso

    Fuso

    Lightweight intranet penetration, port forwarding tool

    ...Fuso is useful for developers and system administrators who need controlled access to services behind NAT, firewalls, or private networks. The project is best understood as a compact tunneling utility for learning, testing, and authorized network access rather than a commercial remote-access platform.
    Downloads: 51 This Week
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  • 12
    ModelFox

    ModelFox

    ModelFox makes it easy to train, deploy, and monitor ML models

    ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. ...
    Downloads: 2 This Week
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  • 13
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. ...
    Downloads: 0 This Week
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  • 14
    Ansible Examples

    Ansible Examples

    A few starter examples of ansible playbooks, to show features

    ...The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be adapted directly into your own infrastructure or to serve as reference blueprints when learning how to structure automation projects. Whether you’re managing a handful of servers or deploying at scale, this repo provides starting points that illustrate how Ansible can streamline repetitive operational tasks.
    Downloads: 4 This Week
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  • 15
    Weld

    Weld

    High-performance runtime for data analytics applications

    ...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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  • 16

    Savant

    Python Computer Vision & Video Analytics Framework With Batteries Incl

    Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building...
    Downloads: 0 This Week
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