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Showing 395 open source projects for "gmail source code"
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WebEditorWeb
Code editor in single HTML file
Code editor written in a single HTML file that runs on the browser tab. There is no need to install, download a single file and run anywhere. To change the initial configuration, edit the wew.html file in the last lines. * WebEditorWeb use CodeMirror components in code editor. -
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WideW - WebIDEWeb
Web IDE in single HTML file
IDE written in a single HTML file that runs on the browser tab. There is no need to install, download a single file and run anywhere. To change the initial configuration, edit the widew.html file in the last lines. * Widew use CodeMirror components in code editor. URLs: https://soluc.org/widew https://widew.sourceforge.io -
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Arduino Launch Control System (LCS)
A single rod model rocket launch control system using the Arduino Nano
This is a single rod model rocket launch control system. The system utilizes the Arduino Uno/Nano to report on local weather conditions (temperature, humidity, barometric pressure). The system also provides a 10-second countdown when the fire button is pressed. The system meets and exceeds the NAR Safety Code standard for model rocket launch systems as it incorporates a removable key to block the flow of power to the launch pad. It incorporates an additional two-button safety system to... -
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build-web-application-with-golang
A golang ebook intro how to build a web with golang
This repository is an e-book and tutorial code base that demonstrates how to build a web application in Go (Golang). It provides step-by-step guidance, sample code, explanations, and best practices around routing, handlers, templates, sessions, form handling, file upload, JSON APIs, authentication, and more, intended for learners of Go web development. Code examples for routing, handlers, and HTTP request/response handling. REST API endpoints and JSON marshalling/unmarshalling. File uploads... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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. The tutorials cover a broad range of topics—from foundational Python programming and data handling to... -
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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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Code Guide
Standards for developing consisten and sustainable HTML and CSS
Code Guide is a set of standards for developing consistent, flexible, and sustainable HTML and CSS. It comes from years of experience writing code on projects of all sizes. It's not the end-all be-all, but it's a start. Don't capitalize tags, including the doctype. Use soft tabs with two spaces, they're the only way to guarantee code renders the same in any environment. Nested elements should be indented once (two spaces). Always use double quotes, never single quotes, on attributes. Don't... -
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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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Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
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paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence"
paip-lisp is the Common Lisp source code companion to Peter Norvig’s book Paradigms of Artificial Intelligence Programming. It contains implementations and examples from the book, covering classic AI techniques through Lisp programs. The repository includes systems for symbolic reasoning, search, rule-based inference, natural language processing, pattern matching, logic programming, and game-playing examples. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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Key Store
Scriptural Keys Restoration - decoded universally symbolic language
The Key Store is a directory where users can find the symbolic meaning to a word as defined in Holy Scripture. These are often referred to as the keys of the Kingdom of Heaven. Much like a secret code, the directory exposes a universal dialect, all but nearly lost throughout the Dark Ages of time. Yet, fragments of this language remained until today such as, Father = Time and Mother = Nature. The database is expandable to grow as more entries and the sources are uncovered. -
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Functional-Light JavaScript
Pragmatic, balanced FP in JavaScript
Functional-Light JavaScript is an online book that teaches functional programming principles through a pragmatic JavaScript lens. Instead of insisting on strict purity, it adopts a balanced approach that keeps code practical while showing how immutability, composition, and declarative thinking improve quality. Chapters build up from values and closures to higher-order functions, list operations, transducing, and async patterns, all grounded in idiomatic JS. The writing favors intuition and... -
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Tech Interview Handbook
Curated coding interview preparation materials
Tech Interview Handbook is a curated, mostly self-contained compilation of technical interview preparation resources—including algorithms, system design, resume tips, and behavioral questions—crafted for busy software engineers. The information in this repository is condensed. Ultimately, the key to succeeding in technical interviews is consistent practice and I don't want to bore you with too many words. I tell you the minimum you need to know on how to go about navigating the interview... -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. 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,... -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing... -
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LTEX Extension for VS Code
LTeX: Grammar/spell checker for VS Code using LanguageTool
LTEX provides offline grammar checking of various markup languages using LanguageTool (LT). LTEX can be used standalone as a command-line tool, as a language server using the Language Server Protocol (LSP), or directly in various editors using extensions. LTEX currently supports BibTEX, ConTEXt, LATEX, Markdown, Org, reStructuredText, R Sweave, and XHTML documents. A classic use case of LTEX is checking scientific LATEX papers. -
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Learn and Play
XML-based framework for developing games
XML-based framework for developing games in (ActionScript 2.0, discontinued) HTML5 Phaser.io's engine It'd been thought to develope a project with a great amount of games on drag&drop, painting, typing, hunting, puzzles.There's no need to write the same code to similar games! Just write some XML lines (check samples) and one JavaScript instruction to run your game. NOTE: some browsers security policies do not allow to run samples locally. If this occurs, try to publish on a web site -
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Awesome macOS
Curated list of awesome applications, softwares, tools for macOS
A curated list of awesome applications, software, tools and shiny things for macOS. Items marked are open-source software and links to the source code. Items marked with freeware are free (as in free beer). -
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Graphics Workshop
Learn computer graphics by writing GPU shaders
Graphics Workshop is an educational computer graphics repository built around writing GPU shaders. It teaches graphics concepts through interactive two-dimensional and three-dimensional browser projects. The workshop covers topics such as fragment shaders, procedural textures, rasterization, lighting, stylized rendering, and real-time ray tracing. It is designed so learners can focus on shader code while the surrounding WebGL and JavaScript harness is already provided. Projects are meant to... -
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code-review-tips
Common problems to look for in a code review
code-review-tips is a concise, actionable set of heuristics to improve the quality and consistency of software code reviews. While examples are written in JavaScript, the advice generalizes to most languages and frameworks. The tips focus on spotting common pitfalls—naming ambiguity, hidden complexity, missing tests, leaky abstractions, performance traps, and security footguns—before they reach production. The guide is designed to be skimmed during review, turning tribal knowledge into a... -
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dualword-chem
chemical viewer
chemical viewer written in C++ (Qt, RDKit) Source code: http://github.com/dualword/dualword-chem -
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stat-cookbook
The probability and statistics cookbook
A compact “Probability and Statistics Cookbook” offering concise mathematical recipes for key statistical concepts—expectation, variance, distributions and inequalities—packaged as LaTeX and R-based executable documents.
