Search Results for "tutorial" - Page 5
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269 projects for "tutorial" with 1 filter applied:
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python-tutorial
Practical Python tutorials, including Python basics
python-tutorial is a practical Python learning repository that collects examples for everyday programming tasks. It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. -
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nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nlp-tutorial is an educational repository that implements influential natural language processing models in concise PyTorch examples. Most implementations use fewer than 100 lines of executable code, making the architectures easier to inspect and modify. The curriculum begins with neural language models, Word2Vec, and FastText. It then covers TextCNN, recurrent networks, LSTM, bidirectional LSTM, sequence-to-sequence learning, and attention. -
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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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Machine Learning & Deep Learning
machine learning and deep learning tutorials, articles
Machine Learning & Deep Learning Tutorials is an open-source repository that provides practical tutorials demonstrating how to implement machine learning and deep learning models using popular frameworks such as TensorFlow and PyTorch. The project focuses on helping learners understand machine learning through hands-on coding examples rather than purely theoretical explanations. Each tutorial walks through the process of building and training models for tasks such as image classification, neural network training, and computer vision applications. The repository also includes explanations of how different algorithms function internally, helping readers connect theoretical knowledge with implementation details. Because the tutorials are organized into separate projects, users can easily explore specific topics or technologies within the machine learning ecosystem. -
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Spring Boot Learning
Spring Boot Tutorial Source Code
SpringBootLearning is a collection of sample applications that accompanies an unofficial Chinese-language Spring Boot tutorial series. It starts with basic project creation and configuration, then expands into common backend development tasks. The examples cover JDBC, JPA, MyBatis, MongoDB, Redis, transactions, caching, and several messaging technologies. Additional modules demonstrate REST documentation, Swagger, file uploads, form validation, scheduled tasks, asynchronous methods, and service consumption. ... -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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GitTutorial
Tutorial on how to use Git and Github in practice
GitTutorial is a Portuguese-language beginner guide that teaches how to use Git and GitHub through a practical project workflow. It starts with installing Git, creating a local repository, staging files, and making the first commit. The tutorial then shows how to connect a local project to GitHub and publish changes with remote and push commands. Later sections explain branches, switching between them, merging work, and viewing commit history. It also introduces cloning, pulling updates, forking repositories, and submitting pull requests. The material follows the structure of an accompanying video and uses simple examples designed for people learning version control for the first time. ... -
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FAS for MagicDraw
Functional Architectures for Systems with SysML - Plugin for MagicDraw
...format=raw Here are installation instructions for the version of the plugin that is offered on this site: http://sourceforge.net/projects/fas4md/files/ReadMe.txt/download. More: Tutorial http://sourceforge.net/projects/fas4md/files/FAS_plugin_tutorial.pdf/download User Guide http://sourceforge.net/projects/fas4md/files/FAS%20plugin%20for%20MagicDraw%20-%20User%20Guide.pdf/download -
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jstutorial
Javascript tutorial book
...The browser section covers DOM manipulation, events, storage, and network requests so readers can build interactive pages with confidence. Later chapters introduce Node.js usage and ecosystem basics, making the tutorial a practical bridge between front-end and back-end JavaScript. -
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Spring Cloud Learning
The Easiest Spring Cloud Tutorial Source Code Ever
SpringCloudLearning is a companion source-code repository for a Chinese-language tutorial series about building microservices with Spring Cloud. It contains chapter-based sample projects covering multiple generations of the Spring Cloud ecosystem. Examples demonstrate service registration and discovery, configuration management, gateways, service consumers, circuit breaking, messaging, and distributed tracing. The repository includes material for technologies such as Eureka, Feign, Ribbon, Hystrix, Zuul, Nacos, Sentinel, Sleuth, Zipkin, and Spring Cloud Gateway. ... -
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Complete-React-Tutorial
All course files for the Complete React Tutorial
Complete-React-Tutorial is a repository of course files for The Net Ninja’s Complete React Tutorial on YouTube. It is organized around lesson branches, so learners can select the branch that matches the video they are following. This makes it easier to compare starting code, lesson progress, and final examples without manually recreating every file. The project is not a standalone React framework or library, but a companion codebase for learning React step by step. -
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PS-Drone
Programming a Parrot AR.Drone 2.0 with Python - The Easy Way
...The video function is not restricted to mere viewing, it is also possible to analyze video images data using OpenCV2. Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for professional purposes can be satisfied. PS-Drone comes with a tutorial, explaining its most important commands and the drone's most important sensor values. The examples are easy to understand for people with little programming experience. A full list of commands and a description of all sensor data is available in a detailed documentation. It took several months to create PS-Drone, so it would be nice to get some donations for further development (e.g. ... -
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imeight
The imaginary eight-bit machine
...The emulator brings back memories from the 1980s, offers graphical features like sprites, character generator, 16-color palette. One goal is to create a framework for making games with 8-bit look and feel, including the process of programming. The programming tutorial helps beginners enter the world of programming in a gamified way. -
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Spring Cloud Tutorial
Spring Cloud Basics Tutorial, continuously updated
SpringCloud-Learning is a tutorial repository containing runnable examples for building microservice systems with Spring Cloud. Its code is organized around several framework generations, including Brixton, Dalston, Edgware, and Finchley. The lessons cover service registration, discovery, client communication, distributed configuration, gateways, and fault tolerance. -
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
...By examining common smells—poor naming, deep nesting, long functions, tight coupling—readers learn how to restructure code to improve maintainability. It is targeted at developers of any experience level, though beginners will find its concrete examples especially useful. The tutorial-style repository includes code with comments and comparisons between less readable and more readable versions, promoting intentional design. -
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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 configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. ... -
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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. Beyond the... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer learning. ... -
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lireddit
Reddit-style application created as source code for web development
lireddit is a full-stack Reddit-style application created as source code for a long-form web development tutorial. It demonstrates how to build a modern discussion platform with separate server and web layers. The project is useful for learners who want to understand how authentication, posts, voting, sessions, and database-backed features fit together in a real application. It is centered on practical implementation rather than being a polished production social platform. -
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Linux-Intelligent-Ocr-Solution
Easy-OCR solution and Tesseract trainer for GNU/Linux
...Program is given total accessibility for visually impaired. A Tesseract Trainer GUI is also shipped with this package. Forum : https://groups.google.com/forum/#!forum/lios Video Tutorial : https://www.youtube.com/playlist?list=PLn29o8rxtRe1zS1r2-yGm1DNMOZCgdU0i Tesseract Training Tutorial (beta) : https://www.youtube.com/watch?v=qLpCld4cdtk Source Code Github : https://github.com/Nalin-x-Linux/lios-3 Gitlab : https://gitlab.com/Nalin-x-Linux/lios-3 User guide is available in download page -
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Python Crawler Tutorial Starts From Zero
Python crawler tutorial, taking you from zero to one
Python Crawler Tutorial Starts From Zero is a Chinese-language learning repository that teaches web crawling from introductory concepts through practical examples. Early lessons explain HTTP requests, request analysis, the Python Requests library, and common categories of extracted data. Separate chapters cover JSON processing and regular expressions for transforming responses into structured information. -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
Scikit-learn Tutorial contains the materials for Jake VanderPlas’s introductory scikit-learn tutorial, originally used at major Python conferences. It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. ... -
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph...
