Search Results for "character recognition source code"
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Showing 12 open source projects for "character recognition source code"
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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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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
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... -
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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... -
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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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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. 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... -
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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. It will act as a Morse trainer and can... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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...This MIT License only applies to the source code. = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
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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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