Search Results for "educational linux" - Page 3
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Showing 80 open source projects for "educational linux"
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JavaScript Array Explorer
A resource to figure out what JavaScript array method would be best
Array Explorer is an educational web-based resource created by Sarah Drasner to help developers understand and select the appropriate JavaScript array method (like map, filter, reduce, find, etc.) when they’re stuck wondering “which one should I use?” Instead of diving into endless docs, you can use the interactive tool to specify what you’re trying to accomplish—e.g., “remove items,” “transform items,” “find something,” “aggregate results”—then see which methods match and get live code... -
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Pure Bash Bible
A collection of pure bash alternatives to external processes
pure-bash-bible is a collection of pure Bash scripting techniques that demonstrate how to accomplish common and complex tasks using only built-in Bash features. Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. By relying... -
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Flutter Dojo
A beautiful design and useful project
Flutter Dojo is an educational and practical Flutter UI project that provides a large collection of demo screens, layouts, and component examples designed to help developers learn and experiment with Flutter’s capabilities. Rather than being a traditional component library, it acts as a showcase and playground where developers can explore different UI patterns, animations, and design implementations within a single project. The repository includes numerous real-world interface examples,... -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from... -
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Design Patterns Written in Unity3D
All Gang of Four Design Patterns written in Unity C#
The Design Patterns Written in Unity3D project is a guide to implementing software design patterns specifically within the Unity game development environment. It demonstrates how common patterns such as singleton, observer, factory, and state can be adapted to Unity’s architecture. The repository includes practical examples and code snippets that show how to structure game systems for scalability and maintainability. It emphasizes clean code practices and modular design, helping developers... -
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Swift tips & tricks
A collection of Swift tips & tricks that I've shared on Twitter
Swift tips & tricks is a curated collection of practical Swift programming tips and tricks compiled from real-world usage and shared insights, primarily originating from short-form content like social media posts. The repository serves as a knowledge base of concise, focused techniques that demonstrate idiomatic Swift patterns, language features, and problem-solving approaches. Each tip highlights a specific concept, such as functional programming techniques, protocol specialization, error... -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the... -
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libpku
Private compilation of curriculum materials in your school
libpku is a community-driven repository that collects and organizes university course materials, lecture notes, past exams, problem sets, and student-compiled summaries—primarily for Peking University, but also including contributions from other institutions. Its mission is to make hard-to-find, experience-based educational content more openly accessible, so that students don’t have to reinvent what prior generations of learners already collected. The repository is organized into folders by... -
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Browser diet
The definitive front-end performance guide
Browser diet is a community-driven front-end performance guide presented as a fun, colorful website that explains how to make web pages faster and “lighter.” It collects advice from experienced front-end developers and organizes it into practical sections covering HTML, CSS, JavaScript, images, server configuration, and general best practices. The project was built as a static site powered by DocPad, with content written in Markdown and translated into multiple languages, making it... -
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners... -
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WebPerl
Run Perl in the browser with WebPerl
WebPerl allows running Perl in the browser by compiling the Perl interpreter to WebAssembly. It enables developers to execute Perl scripts client-side without server interaction. -
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tinyraycaster
486 lines of C++: old-school FPS in a weekend
The tinyraycaster project is a compact implementation of a classic raycasting engine inspired by early first-person shooter games, written in a minimal amount of C++ code. It demonstrates how to create a basic 3D environment using 2D grid-based maps and raycasting techniques. The project focuses on teaching the principles behind rendering pseudo-3D scenes, including wall projection, texture mapping, and camera movement. Its simplicity allows developers to understand the entire rendering... -
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Play-With-Sort-OC
Repository implemented in Objective-C with sorting algorithms
Play-With-Sort-OC is a learning-oriented repository implemented in Objective-C that demonstrates several classic sorting algorithms with code examples (selection sort, bubble sort, insertion sort, quick sort variants, heap sort, etc). The goal is educational; by showing how each algorithm works with animations or clear visualizations in an iOS/Objective-C context, the author helps developers understand not just the “how” but also the “why” behind each algorithm. The repo is especially suited... -
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MixItUp 3
Library for animated filtering, sorting, insertion, removal and more
MixItUp is a high-performance, dependency-free library for animated DOM manipulation, giving you the power to filter, sort, add and remove DOM elements with beautiful animations. MixItUp plays nice with your existing HTML and CSS, making it a great choice for responsive layouts and compatible with inline-flow, percentages, media queries, flexbox and more. MixItUp is open source and free to use for non-commercial, educational and non-profit use. For use in commercial projects, a commercial... -
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution... -
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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models,... -
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asynquence
Asynchronous flow control
asynquence is a small, promise-like flow library for composing asynchronous steps into readable sequences. Instead of juggling nested callbacks, you create a chain of operations that pass values forward and route errors consistently. It supports concurrency control via “gates” and “races,” letting multiple tasks proceed and rejoin at the right moment without complex bookkeeping. The design emphasizes clarity and debuggability, keeping stack traces and error paths straightforward. Plugins... -
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DataScienceR
a curated list of R tutorials for Data Science, NLP
The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting,... -
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fast-neural-style
Feedforward style transfer
The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications.... -
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Collection of various websites
Collection of various websites
Collection of various websites repository is a curated collection of web resources, blog posts, tools, and educational materials that span a wide array of topics such as technology, development, programming, system administration, and insightful essays. Its goal is to help developers and learners explore high-value content on the internet without having to search for it themselves, acting as a centralized directory for valuable information. The content is organized by topic or theme, making... -
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spf13-vim
The ultimate vim distribution
spf13-vim is a classic “Vim distribution” that bundles a thoughtfully curated set of plugins, keymaps, and defaults to make Vim productive right after installation. It was designed to be opinionated but approachable, offering consistent motions, a polished statusline, and sensible editing behaviors across languages. The distribution standardizes plugin management and wiring so users don’t have to chase configuration snippets from blog posts. It emphasizes discoverability with well-documented... -
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DeepDream
This repository contains IPython Notebook with sample code
DeepDream is a small, educational repository that accompanies Google’s original “Inceptionism” blog post by providing a runnable IPython/Jupyter notebook that demonstrates how to “dream” through a convolutional neural network. The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing... -
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go-rock-libraries-showcases
Comprehensive tutorial that integrates blogs, examples, audio, video
go-rock-libraries-showcases hosts the materials for Go, an advanced tutorial series focused on well-known Go third-party libraries. It is designed for learners who have already finished Go, and want to deepen their skills by exploring real-world libraries that are popular and highly regarded in the Go ecosystem. The course uses a “three-in-one” approach: blog posts, code examples, and audio/video lectures are combined to explain each library in practical context. The README explains that the... -
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Bocker
Docker implemented in around 100 lines of bash
Bocker is a minimal, educational reimplementation of core container (Docker-like) functionality, done in about a hundred lines of Bash script. Its purpose is not to replace Docker’s full feature set, but to illustrate container primitives—namespaces, cgroups, layering, filesystem manipulation, network namespaces, etc.—in a transparent, minimal form. With bocker you can perform basic operations such as pulling an image, running a container, exec into a container, listing containers, and... -
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ng-demos
Variety of angular demos
ng-demos is a collection of sample Angular applications and code examples designed to demonstrate best practices, patterns, and techniques for building modern web applications. The repository includes multiple demo projects that showcase different aspects of Angular development, such as component design, routing, data services, and state management. It is intended as a learning resource for developers who want to see practical implementations of concepts discussed in tutorials and style...
