Search Results for "tutorials" - Page 2
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Showing 70 open source projects for "tutorials"
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Project Based Learning
Curated list of project-based tutorials
project-based-learning is a community-curated open source repository that compiles programming tutorials focused on building real-world applications from scratch. It organizes resources by programming languages such as Python, Java, JavaScript, C++, Go, Rust, and many others. Each tutorial emphasizes practical, hands-on learning through project development rather than theoretical study. The collection spans various domains including web development, game programming, systems programming, and machine learning. ... -
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DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. -
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Spring and Hibernate for Beginners
Source code for the course: Spring and Hibernate for Beginners
This repository contains code and resources for learning Spring and Hibernate, tailored to beginners looking to understand Java-based web development. Here is a Spring Boot Learning Path and Roadmap to help you learn more about Spring Boot. These are links to luv2code courses on Udemy. You can purchase the courses to further your studies. -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can... -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
...The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged software tool. Documentation across languages and frameworks. Continuously updated by the author. -
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Advanced Java
Comprehensive guide to advanced Java topics and backend tech
advanced-java is a curated knowledge base for Java developers seeking to deepen their understanding of advanced topics, including JVM internals, multithreading, networking, databases, system design, and common backend technologies. Written in Chinese, it serves as both a study guide and reference for preparing for technical interviews or mastering large-scale system development with Java. -
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ai-edu
AI education materials for Chinese students, and teachers
...Under the guidance of the Ministry of Education, relying on the new generation of artificial intelligence open research and education platform, the R&D team of Microsoft Research Asia and the Academic Cooperation Department will provide comprehensive support for this community. We will provide real cases of artificial intelligence application development, as well as supporting tutorials, tools and other learning resources. Frontline teachers and learners in the field of artificial intelligence will also share their resources and experience. -
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raspberry-pi-os
Learning operating system development using Linux kernel and Raspberry
This project provides a step-by-step educational guide on building a simple operating system kernel entirely from scratch, specifically targeting the Raspberry Pi 3. The operating system, referred to as RPi OS, is inspired by the Linux kernel but remains intentionally minimal to focus on clarity and teaching fundamental OS concepts. Each lesson introduces a kernel feature and demonstrates its implementation within RPi OS, followed by a comparison to how the same concept is realized in the... -
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freefq tutorials
Companion repository to the freefq project
freefq/tutorials is a companion repository to the freefq project that focuses on educational content, providing step-by-step guides and walkthroughs for setting up, using, and troubleshooting various proxy and VPN tools with the freefq lists. While the proxy lists themselves are raw configurations, this tutorials repo contextualizes them for users who may be unfamiliar with client setup, encryption options, or platform-specific considerations like mobile vs desktop environments. ... -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. ... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
...Each section includes runnable code examples that progressively increase in complexity, helping learners build intuition while practicing hands-on implementation. Because the tutorials are concise and practical, the project is widely used in classrooms and self-study environments. Overall, it functions as both a learning curriculum and a quick reference for common PyTorch workflows. -
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A Machine Learning Course with Python
A course about machine learning with Python
...A considerable amount of literature has been published on Machine Learning. The purpose of this project is to provide the most important aspects of Machine Learning by presenting a series of simple and yet comprehensive tutorials using Python. In this project, we built our tutorials using many different well-known Machine Learning frameworks such as Scikit-learn. In this project you will learn what is the definition of Machine Learning? When it started and what is the trending evolution? What are the Machine Learning categories and subcategories? What are the mostly used Machine Learning algorithms and how to implement them? -
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3D Game Shaders for Beginners
A step-by-step guide to implementing SSAO for 3D games
Interested in adding textures, lighting, shadows, normal maps, glowing objects, ambient occlusion, reflections, refractions, and more to your 3D game? Great! Below is a collection of shading techniques that will take your game visuals to new heights. I've explained each technique in such a way that you can take what you learn here and apply/port it to whatever stack you use—be it Godot, Unity, Unreal, or something else. For the glue in between the shaders, I've chosen the fabulous Panda3D... -
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Command-Line Text Processing
From finding text to search and replace
Command-line-text-processing is a curated educational repository providing many examples and tutorials on how to use various command-line tools for processing text: searching, replacing, sorting, transforming, filtering, etc. It covers tools like grep, sed, awk, perl, Ruby one-liners, file attribute commands, sorting, tail/head/less/cat, and many more. It's intended as a learning resource, with explanations, examples, exercises, solutions. -
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Impro-Visor
Leadsheet notation with auto-generated playback, improvisation advice
...Other features include generation of roadmaps for understanding keys and idiomatic chord progressions, chord voicing keyboard, MIDI and MusicXML export. See http://www.cs.hmc.edu/~keller/jazz/improvisor for general information, including tutorials. Support and additional resources are through the user group https://groups.yahoo.com/neo/groups/impro-visor/info. The most recent source code, since summer of 2015, is housed here: https://github.com/Impro-Visor/Impro-Visor This started when SourceForge was down for over one week during an active development period. -
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vim-go-tutorial
Tutorial for vim-go
vim-go-tutorial is a step-by-step educational repository that teaches developers how to install, configure, and effectively use the vim-go plugin for Go development inside Vim. The project walks users through a structured learning path that begins with quick setup and progresses through building, testing, refactoring, navigation, and code generation workflows. It is designed primarily for developers who want to turn Vim into a full-featured Go IDE while understanding the tooling rather than... -
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stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found in the site. For this course, I use python3.6 and TensorFlow 1.4.1. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? -
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The Art of Node
A short introduction to node.js
...Because Node is used in a wide range of environments—from REST APIs and microservices to tooling scripts and real-time servers—art-of-node helps bridge the gap between beginner tutorials and production-ready code. -
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Mastering Shiny
Mastering Shiny: a book
Mastering Shiny is a book (and its accompanying source repository) by Hadley Wickham that teaches people how to build interactive web applications using Shiny in R. It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers. The source code is open,... -
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Scala Exercises
The easy way to learn Scala
Scala Exercises is an open source platform for learning Scala through interactive exercises and tutorials. It provides a hands-on learning environment where users can read theory and immediately code (in the browser) and see results. The content covers Scala language features, functional programming libraries (cats, scalaz, etc.), and fp-style patterns. It is modular, so additional modules or “sections” can be added for new topics or libraries. -
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GalaXQL
Who said SQL tutorials have to be boring?
GalaXQL is a fun SQL tutorial where the database is a galaxy of stars that is rendered in 3D. Watch the galaxy change as your SQL commands create, modify, and destroy heavenly objects. What could be more fun? -
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MattsMathTools
MathTools is an aid in preparing printed math tests.
Matt's MathTools is a Java application designed as an aid in preparing printed math tests. It is easily embedded in other Java applications or it can be used alone as a single-user desktop app. It includes a scripting environment, numerous demonstration classes and several general utilities. A scripting tutorial is also available. -
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CLUE - C Learning Undergrad Environment
Tools to support the learning of the C programming language
CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863.
