Search Results for "learn computer basics" - Page 4
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Showing 231 open source projects for "learn computer basics"
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CameraVoyeur
Windows-oriented utility to log frames from a connected camera devices
CameraVoyeur is a small Windows-oriented utility that demonstrates how to capture, preview, and possibly log frames from a connected camera device in a lightweight way. It’s set up more like an experiment or proof-of-concept than a polished end-user app, focusing on the plumbing for grabbing images from the webcam. The project shows how to access the camera stream, keep it running, and expose the captured output for later use or display. Because it’s in a regular GitHub repo and not a closed... -
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Practical Programming Books
A collection of more practical computer-related technical books
Practical Programming Books is a curated Chinese-language directory of programming books, tutorials, technical websites, and well-written articles. It focuses on resources that can help developers learn useful technical subjects efficiently. Programming-language sections cover technologies including C/C++, Java, JavaScript, Python, Go, Ruby, Swift, PHP, Haskell, and many others. Language-independent topics include operating systems, databases, distributed systems, design patterns, web... -
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Pwnagotchi
Deep Reinforcement learning instrumenting bettercap for WiFi pwning
Pwnagotchi is an A2C-based “AI” powered by bettercap and running on a Raspberry Pi Zero W that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks). This material is collected on disk as PCAP files containing any form of handshake supported by hashcat, including full and half WPA handshakes as well as PMKIDs. Instead of merely playing Super Mario... -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. -
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Bash Scripting
Free Introduction to Bash Scripting eBook
...The guide is suitable for anyone working as a developer, system administrator, or a DevOps engineer and wants to learn the basics of Bash scripting. The first 13 chapters would be purely focused on getting some solid Bash scripting foundations then the rest of the chapters would give you some real-life examples and scripts. -
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Cloud Annotations
A fast, easy and collaborative open source image annotation tool
Learn computer vision & AI by building real-world applications. Learn to build and train computer vision models—then show off your skills in an interactive web application. Build impressive applications and learn coveted skills. The examples below were created by the Skills Network Team—right here in CV Studio. Create your own project dataset by uploading images and videos. -
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Python Tutorials
Machine Learning Tutorials
Python Tutorials is a large set of educational tutorials focused on Python and related technologies, catering especially to learners who want hands-on examples and clear explanations. Created by an experienced instructor and educator, the repository covers a wide range of programming basics and advanced topics. This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. ... -
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Colin
Civil Engineering structural analysis application.
Colin is a structural analysis application with a lightweight interface. This structural analysis software for students, in order to provide an easier way to learn the basics of civil engineering. -
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multipractice
Tool for practicing languages.
Practice makes perfect. Panglossa MultiPractice is a tool to help you learn and practice languages. You can create your own courses, import courses created by others, and even export courses to HTML or PDF documents. The original project (for Lazarus) was basically a flashcard app. Now it is more like a platform for creating structured courses with text, images, audio and video content, as well as different types of exercises. Please keep in mind that this project is created and... -
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intelligent thinking system solving
An approach where computer solves problems like a human brain does;
The intelligent, thinking systems solving project uses a method whereby the computer solves the problem in a way a biological way does. The result of this is that it can learn and emulate a behavior or strategy. Two examples of the process use the game of chess and the game of go. -
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Curso de JavaScript
Public and basic material to learn JavaScript
Curso de JavaScript is a public learning repository from Gustavo Guanabara’s Curso em Vídeo ecosystem. It provides beginner-friendly material for students learning the basics of JavaScript. The repository includes lesson PDFs, exercise code, images, programming challenges, and runnable examples hosted through GitHub Pages. It is designed for educational use, especially for people who want structured practice instead of scattered examples. Teachers may also use the material with students, as... -
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swirl
Learn R, in R
swirl is an R package that allows interactive, in-R learning of statistics, data science, R programming etc. The idea is that you load swirl in R, and it presents you with lessons (within R’s console or RStudio) that ask you to type commands, check results, and progress through tutorial material—without leaving the R environment. It is used for teaching R, especially for beginners, as well as for self-paced learning of packages, data manipulation, visualization, etc. Lessons and content are... -
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A Machine Learning Course with Python
A course about machine learning with Python
The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Machine Learning, as a tool for Artificial Intelligence, is one of the most widely adopted scientific fields. 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... -
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Email analyser - Les Furets Comateux
An university project to learn the basics of software engeeniring
This repository was created and is a part of the GL02 course taught in the UTT. The goal is to create a tool to simplify the work of a fake corporation called UIConsult by automating the analysis of an email box. -
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Deep Learning with PyTorch
Latest techniques in deep learning and representation learning
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. To be able to follow the exercises, you are going to need a laptop with Miniconda (a... -
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tute
Play Tute playing card game
Tute is one of the most popular Spanish deck card games. It is now available here totally free with source code available for the community. Learn the basics from Ludoteka [http://www.ludoteka.com/tute.html] or Wikipedia [https://www.wikipedia.org/wiki/Tute] -
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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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BIBLICAL ELECTRONIC MEDITATION
Learn to Meditate the Christian Way Using Your PC
I am including Powerpoint templates that will help you Meditate using a computer, the Christian way. I have included a text file that explains how to do that. Feel free to contact me for further questions. -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. ... -
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Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months"
This project lays out a 12-week plan to go from basics to a portfolio-ready understanding of data science. It breaks the journey into clear stages: Python fundamentals, data wrangling, visualization, statistics, machine learning, and end-to-end projects. The schedule mixes learning and doing, encouraging you to build small deliverables each week—like notebooks, dashboards, and model demos—to reinforce skills. It also includes suggestions for datasets and problem domains so you aren’t stuck... -
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Electron API Demos
Desktop app to demonstrate the core features of the Electron API
...The Electron API Demos app interactively demonstrates the most important features of the Electron API. Use this app to see what you can do with Electron and use the source code to learn how to create a basic Electron app. You'll need Node.js installed on your computer in order to build this app. You can download the latest release for your operating system or build it yourself. For easier developing you can launch the app in fullscreen with DevTools open. If you can build a website, you can build a desktop app. ... -
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BossSensor
Hide screen when boss is approaching
BossSensor is an experimental open-source application that uses computer vision and machine learning to detect when a specific person, such as a supervisor or manager, approaches a computer workstation. The project uses a webcam to continuously capture images and analyze them using a face classification model trained to distinguish between the designated “boss” and other individuals. When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user’s screen or switching to a safe display. ... -
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C Compiler
How to Write a C Compiler
Check the following directories as this is where most practical additions happen: /COMPILER/C/X86/EXAMPLES/HAND_ASM/ /COMPILER/C/X86/js/Instructions/index.html This is a compiler intended to be compatible with any other popular C/C++ compiler like Turbo C, Borland compilers, Visual C, GCC, Open Watcom. The license is public domain. I make programs like this as a game, to play with the computer and learn, and I mainly do so for having fun like in school times and also do it for my female Siamese cat, who I love, because she saved my life in a time and has also helped my other animals (hens, roosters, iguanas, insects) and to stay in the state I've always enjoyed since being a little kid. -
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Sol-R
Open-source CUDA/OpenCL speed of light ray-tracer
...The idea was not to produce a physically based ray-tracer, but a simple engine that could produce cool images interactively. Take it for what it is! Sol-R is a lot of fun to play with if you like coding computer-generated images.
