Search Results for "educational linux" - Page 2
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Showing 80 open source projects for "educational linux"
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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Botcraft
Botcraft is a cross-platform C++ library to create bots
Botcraft is an advanced Minecraft bot framework that provides a full client implementation in Node.js, enabling bots to join Minecraft servers, interact with the world, and perform tasks like mining, fighting, and building. It leverages the mineflayer ecosystem to provide a highly programmable interface for automation and AI experimentation in Minecraft. Botcraft is particularly useful for AI researchers, game modders, and automation enthusiasts who want to explore pathfinding, environment... -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone,... -
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Underscore.js
JavaScript's utility belt
Underscore.js is a JavaScript utility-library created by Jeremy Ashkenas that provides a broad set of functions for working with arrays, objects, functions, and other data types — essentially a “utility belt” for functional programming in JS. Instead of extending built-in objects or modifying prototypes, Underscore provides its helpers in a single _ namespace, enabling cross-browser support and consistent behaviour across environments. It offers map/filter/reduce, deep-cloning, templating,... -
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Backbone
Give your JS app some Backbone with models, views, and collections
Backbone is a lightweight JavaScript library (sometimes described as a micro-framework) created by Jeremy Ashkenas that adds structure to JavaScript-heavy applications by providing models, views, collections, events and routing tied to RESTful JSON services. Its main philosophy is to provide the minimal set of primitives to organise your client-side code — models for data, collections for groups of models, views for UI interactions, and routers for state/URL management — without prescribing... -
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30 Seconds of Java
Collection of reusable tested Java 21 compatible code snippets
30 Seconds of Java is a curated collection of short, focused Java code snippets intended to teach small concepts quickly, similar to the popular “30 seconds of code” format in other languages. Each snippet is designed to be read and understood in under a minute, showing a single idea such as working with streams, handling optionals, manipulating collections, or doing common utility tasks. The repo targets both beginners who want bite-sized learning and experienced developers who just need a... -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
RLax (pronounced “relax”) is a JAX-based library developed by Google DeepMind that provides reusable mathematical building blocks for constructing reinforcement learning (RL) agents. Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well as... -
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Courses (Anthropic)
Anthropic's educational courses
Anthropic’s courses repository is a growing collection of self-paced learning materials that teach practical AI skills using Claude and the Anthropic API. It’s organized as a sequence of hands-on courses—starting with API fundamentals and prompt engineering—so learners build capability step by step rather than in isolation. Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured... -
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Python-Spider
Python3 web crawler practice
Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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ToaruOS
Hobby operating system, bootloader, kernel, drivers, C library
ToaruOS is a "complete" operating system for x86-64 PCs and experimental support for ARMv8. While many independent, hobby, and research OSes aim to experiment with new designs, ToaruOS is intended as an educational resource, providing a representative microcosm of functionality found in major desktop operating systems. The OS includes a kernel, bootloader, dynamic shared object linker, C standard library, its own composited windowing system, a dynamic bytecode-compiled programming language,... -
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DeepMind Research
Implementations and code to accompany DeepMind publications
This repository collects reference implementations and illustrative code accompanying a wide range of DeepMind publications, making it easier for the research community to reproduce results, inspect algorithms, and build on prior work. The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics,... -
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Neural Network Visualization
Project for processing neural networks and rendering to gain insights
nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is... -
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quantitative
Quantized transactions python3
The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew... -
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Data science blogs
A curated list of data science blogs
Data Science Blogs is a curated repository that aggregates a wide range of high-quality blogs and resources related to data science, machine learning, and analytics into a single organized collection. It serves as a discovery platform for practitioners, researchers, and learners who want to stay updated with industry trends, techniques, and insights without manually searching for reliable sources. The repository includes links to personal blogs, professional publications, and educational... -
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WTFJS
A list of funny and tricky JavaScript examples
WTFJS is a curated collection of JavaScript “gotchas” and puzzling examples that reveal surprising corners of the language. Each entry presents a small snippet, explains why the behavior occurs, and ties it back to the specification or engine rules. The repository covers coercion quirks, edge-case comparisons, floating-point oddities, prototype traps, and scoping pitfalls, among others. It’s designed as both a fun read and a serious learning aid, helping developers build an intuition for how... -
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Hacker Scripts
Based on a true story
Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the... -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time... -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing... -
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WinAPI-Fun
A collection of (relatively) harmless prank examples using the Windows
WinAPI-Fun is a collection of harmless prank examples using the Windows API, demonstrating various manipulations of the Windows operating system for educational purposes. -
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CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
CDN Up and Running is an educational project that demonstrates how content delivery networks work by guiding users through building one from scratch using real-world tools and infrastructure components. The repository combines theoretical explanations with hands-on implementation, allowing developers to understand both the concepts and practical challenges of CDN design. It starts with a simple backend service and progressively evolves into a distributed, multi-node system capable of... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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TinyGL
The penultimate portable graphics library
tinygl is a lightweight, software-based OpenGL implementation originally written by Fabrice Bellard and modified here for modern learning and development purposes. It implements a subset of OpenGL 1.x features and provides a minimal yet functional rendering pipeline with no reliance on graphics hardware. tinygl is an ideal resource for educational purposes, embedded development, or rendering in software-only environments. Its simplicity and compact codebase allow developers to study how 3D... -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
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jsoncat
Lightweight HTTP framework built in Java
jsoncat is a lightweight HTTP framework built in Java (using Netty) that aims to replicate some of the feel of Spring Boot—but in a minimal, educational style focused on clarity rather than full enterprise complexity. The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. Because it avoids heavy abstractions and auto-magical...
