Search Results for "character recognition code"
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Showing 20 open source projects for "character recognition code"
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Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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Concordia
Crowdsourcing platform for full text transcription and tagging
...It was developed by the Library of Congress so that volunteers of all backgrounds could transcribe and tag digitized images of manuscripts and typed materials from the Library’s collections that could not otherwise be done by optical character recognition. -
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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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PureBasic Shamir Secret Sharing
Open-source PureBasic implementation of the Shamir Secret Sharing
...This implementation operates over the finite field GF(257), allowing correct handling of all byte values (0–255) without loss, making it compatible with any type of string or binary-compatible data. Main Features Complete implementation of Shamir Secret Sharing Arithmetic over GF(257) Compatible with all character strings Robust Lagrange interpolation Safe modular inverse computation Shares encoded in hexadecimal (3 characters per byte) Clear, well-commented source code ⚠️ Disclaimer This project is intended for educational and demonstration -
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DiKTat
Strict coding standard for Kotlin and a custom set of rules
DiKTat is a strict coding standard for Kotlin, consisting of a collection of Kotlin code style rules implemented as Abstract Syntax Tree (AST) visitors built on top of KTlint. It serves the purpose of detecting and automatically fixing code smells in the Continuous Integration/Continuous Deployment (CI/CD) process. DiKTat has gained recognition and has been added to the lists of static analysis tools, kotlin-awesome, and kompar. -
Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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Translation of Selected text or Clipboard contents powered by Google. HotKeys Paste/Change Text auto translated. View in Balloon/Window the result of translation, besides being sent to the clipboard. Screen Capture of Desktop/Game > OCR > Translated.
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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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Programming in C++, Part 1
Source code used in the book Programming in C++, Part 1.
Source code of the programs used in the book Lasko M. Laskov. 2016. Programming in C++, Examples and Solutions, Part One: From Procedural Towards Object-Oriented Paradigm. New Bulgarian University. ISBN 978-954-535-903-3. -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run... -
Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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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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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, biases, activation functions, and gradient descent, as well as more advanced techniques like convolutional networks, recurrent networks, and reinforcement learning. It includes multiple hands-on projects, such as handwritten digit recognition, airplane detection in images, and text generation using recurrent neural networks, which demonstrate how different architectures solve real-world problems. -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...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). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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QJDicExample
QJDicExample is an English <-> Japanese dictionary.
QJDicExample is an Japanese to English and English to Japanese dictionary featuring words/names/kanji/sentences search. QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code -
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learnmorse
Trainer helping people learn Morse code in an easy (and fun) way
The purpose of this software is to help people that want to learn Morse code. It aims to be simple and easy to use. It will offer different ways to learn morse code: - contest style (radiograms with 5 character groups transmitted at increasing speed) - free text transmission - sending information from different sources (web sites, files, executable output, etc) The application will generate a PCM sound that will be played via the sound card. -
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YASP (Yet Another Simple Processor) is a 8-bit microprocessor with microcontroller capabilities (I/O ports, REQ, ACK) that can be used as a small computer for educational purposes. Its development environment includes simulators and assemblers.
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...You must quickly enter each Kana's romanji when it falls from the top of the screen. By the time you have completed all 30 levels you will know the romanji and pronunciation for every Kana character = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = UPDATE 2012-08-15: Software license has been updated to the MIT License! In the source files it still say GPL, so please just ignore that. All of the code is now released under the MIT License so you can now easily use it for commercial use! ...
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Dragon Character Training is a PalmOS program using stroke recognition to help you learn to read and write Chinese characters. It is good for learning Mandarin vocabulary and characters.
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The Pattern Recognition Analysis Project is a Java implementation of a basic multilayered backpropagation neural network, used in a color recognition and character recognition project, made for educational and experimental purposes.
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