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Showing 33 open source projects for "image steganography code"
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1
Pro Git
Pro Git 2nd Edition
...Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later. For the examples in this book, you will use software source code as the files being version controlled, though in reality you can do this with nearly any type of file on a computer. If you are a graphic or web designer and want to keep every version of an image or layout (which you would most certainly want to), a Version Control System (VCS) is a very wise thing to use. -
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Containerization (Apple)
Containerization is a Swift package for running Linux containers
This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege execution—so that containers are not just portable, but safer by default. ... -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the... -
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Math-Chemistry/Basic Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
...The repository also includes sections on system design, distributed systems, caching, and message queues, providing practical knowledge relevant to software engineering interviews and real-world applications. In addition, it emphasizes code readability, clean coding practices, and proper documentation formatting. The notes follow the Chinese copywriting typesetting guidelines for improved readability, and the project employs consistent HTML-based image formatting to maintain a polished, uniform presentation across all documents. -
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dslibris
A book reader for Nintendo DS
An ebook reader for the Nintendo DS, focusing on comfortable and uncluttered presentation. See GitHub for current releases and source code: https://github.com/rhaleblian/dslibris -
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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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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 your own DNN models onboard Jetson with PyTorch. ... -
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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covid19model
Code for modelling estimated deaths and cases for COVID19
Code for modeling estimated deaths and infections for COVID-19 from "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe", Flaxman, Mishra, Gandy et al, Nature, 2020, the published version of our original Report 13. This is the release related to our Tiers paper, where we use the latent factor model to estimate the effectiveness of tiers systems in England. Peer-reviewed version is to be out soon. All other code is still the same for previous releases. The code... -
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Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive... -
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30 Days of Swift
A self-taught project to learn Swift
30DaysofSwift is a challenge-style collection of Swift exercises and learning tasks meant to be tackled over 30 days (or more flexibly). Each “day” introduces a coding problem, concept, or mini project that builds on previous days: for example, fundamentals on day 1, optionals and control flow, Swift data structures, closures, protocol programming, UI interaction, etc., culminating in more advanced topics or sample apps. Solutions, hints, or sample projects accompany many of the prompts,... -
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights,... -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). ... -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter... -
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Brain imaging software produced by the Brain Research Imaging Centre of The University of Edinburgh.
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. ... -
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Library Management System
LIbrary Management Software for Windows.
Donate for the continued development of this software here http://goo.gl/kAIbBO It is optimized for a university library for students. It can also be used for home library with less features.You can add Google books information and cover image easily. The source code is also provided in files. email: arunakc421@gmail.com Note:Upgrading from version 1.0 to new version 1.1 1.Download the new version from Sourceforge(LMS 1.1-Setup.msi). 2.Make a copy of present database before uninstalling by going to folder C:\Users\user-name\AppData\Roaming\LibraryManagementSystem and copy the file librarydb.db to another location. 3.Uninstall the old version software. 4.Install the new version. 5.Restore the old database by going to Menu->Manage Database->Import Database and select old database file librarydb.db Step 2 and 5 are needed only if you want the old bookdetails database available in the new version.All information used by the software is stored in this database. -
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TinyRenderer
A brief computer graphics / rendering course
Tiny Renderer (tinyrenderer by ssloy) is a lightweight educational software rasterizer that illustrates how OpenGL works by implementing a mini rendering pipeline in around 500 lines of code—serving as a compact, instructive graphics project. The final code consists of about 500 lines. My students typically require 10 to 20 hours of programming to start producing such renderers. The input is a 3D model composed of a triangulated mesh and textures. The output is a rendering. There is no graphical interface; the program simply generates an image. ... -
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Developing Backbone.js Applications
A book on Backbone.js for beginners and advanced users alike
...Contains the source Markdown for each chapter. This is compiled into the HTML, ePub, Mobi and other formats found in the root of the project. Contains templates and metadata for compiling the book. Contains image assets for the project. Contains the source code for practicals. You can build the book using make or make -f Makefile. This will output the HTML, ePub, Mobi, PDF and RTF versions of the book. -
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DomainMath IDE
An open source gui frontend application for GNU Octave
DomainMath IDE is an open source GUI front-end application for GNU Octave -
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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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jmathstudio - Java Image/Signal toolkit
Java toolkit for discrete Image and Signal processing.
JMathStudio is a Java based digital image and signal processing toolkit/library. It is simple to use, portable, light (~300 Kb), extendable and free. Full source code available at https://github.com/bhavyaajani/jmathstudio Android compatible JMathStudio is available @ https://sourceforge.net/projects/jmathstudio-android/
