Search Results for "c source code" - Page 9
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Showing 1911 open source projects for "c source code"
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1
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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Project: Icarus
A model rocketry project studying temperatures inside the body tube
Project: Icarus is a proof of concept model rocketry research project that brings several individual projects together into a single model rocketry research launch vehicle. This specific project includes an avionics payload, temperature sensors along the body, and a video camera. The sensors record the heat buildup inside the body tube as the solid rocket motor burns and fires the ejection charge. The sensors are placed in three different locations along the body tube to provide data on the... -
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Arduino Primary Avionics Module (A-PAM)
A foundational avionics system for model rockets
If you do a search for model rocket electronic payload, you will see a lot of entries for medium to high power, large diameter rockets. These types of rockets are large, typically 80mm (3.1 inches) in diameter or larger. These rockets are flown in large open areas, often deserts and dry lake beds. These larger rockets also use larger propellants, typically in the High Power Rocketry (HPR) range of “H” and above impulse level. Not only do these motors require you to be certified in HPR, the... -
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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... -
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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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CoolingPower
Print Steam Tables; Plot diagrams and cycles from equations of state
CoolingPower is NOT in a condition for use at this time. A couple of bugs have been discovered that severely affect the calculation accuracy. While I troubleshoot, use at your own risk. Once completed, CoolingPower will have the capability to plot diagrams of thermodynamic properties, construct Steam Tables, and plot thermodynamic cycles. Initial fluid will be water/steam, but functionality will extend to include a variety of working fluids. CoolingPower operates in GUI format and, for... -
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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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Hello AI World
Guide to deploying deep-learning inference networks
...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 your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. ... -
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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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boats
a race scenario drawing tool
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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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MyABCs
Learn the English alphabet
An educational game for young children. MyABCs familiarizes children with the English alphabet and a keyboard. -
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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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QGeoQuiz
Logiciel d'apprentissage de géographie avec quiz
Logiciel d'apprentissage de géographie avec quiz Utilisable avec le générateur de fichier de configuration QGeoQuizFactory Ce programme est un logiciel libre ; vous pouvez le redistribuer ou le modifier suivant les termes de la GNU General Public License telle que publiée par la Free Software Foundation license GNU GPL version 3.0. Ce logiciel vous permet d'apprendre la géographie à partir de cartes et de points interactifs. -
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QGeoQuizFactory
Création des fichiers de configuration de QGeoQuiz
QGeoQuizFactory Ce logiciel vous permet de créer des fichiers de configuration du logiciel de quiz géographique QGeoQuiz. Ce programme est un logiciel libre ; vous pouvez le redistribuer ou le modifier suivant les termes de la GNU General Public License telle que publiée par la Free Software Foundation license GNU GPL version 3.0. -
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Departements_Francais
Logiciel d'apprentissage des départements français
Logiciel ludique d'apprentissage des départements français, avec quizz pour le contrôle des connaissances. -
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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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coloriage
Ce programme libre pour enfants permet de colorier des dessins.
Ce programme libre pour enfants permet de colorier des dessins. License GNU GPL version 3. This free program for children allows you to color drawings. Ce logiciel est ludique et très simple d'utilisation il permet après avoir ouvert le fichier d'une image noir et blanc de la colorier. La couleur peut être choisie dans la barre latérale à gauche de l'écran ou dans le sélecteur de couleur standard. Il suffit de clicker dans la zone à colorier pour la remplir avec la couleur choisie. -
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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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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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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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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...
