Search Results for "character recognition code" - Page 6
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Showing 287 open source projects for "character recognition code"
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Fairy and Giant
Arcade platformer meets puzzle game.
A remaking of classic arcade platformers, Giant and Fairy is an exciting and slower paced puzzle/platformer. Themed as the journey of two friends, the Giant and Fairy must work together to traverse obstacles and return home. This puzzle game is a casual strategy game where players must use strategy to overcome obstacles. Built with Nathansoftware in collaboration with a team of 6: Kat Kelly, Laurence Malata, Thomas-Riley, Wangda97, Ztimulated Kight KIWI. This project has been built in... -
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Kashgari
Kashgari is a production-level NLP Transfer learning framework
Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks. -
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luaparse
A Lua parser written in JavaScript
A Lua parser written in JavaScript, originally written by Oskar Schöldström for his bachelor's thesis at Arcada. Unlike strings in JavaScript, Lua strings are not Unicode strings, but bytestrings (sequences of 8-bit values); likewise, implementations of Lua parse the source code as a sequence of octets. However, the input to this parser is a JavaScript string, i.e. a sequence of 16-bit code units (not necessarily well-formed UTF-16). This poses a problem of how those code units should be... -
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Vanga
Compiler-like generic data scraper and GUI automation tool.
A Java-based visual compiler for GUI recognition and automation. The screens are described in an XML file which contains the definitions of lexemes and the tokens that comprise them. Upon a successful match of a screen, user-defined code is executed. Within the scope of this code, the user is capable of extracting data from the screen, interpreting it, and driving the GUI accordingly. -
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Font Awesome workflow for Alfred
Font Awesome workflow for Alfred
...The current supported version is Font Awesome 5.15.3 Free. macOS Catalina refuses to run unsigned binaries by default. Turn off "Automatically paste to front most app" in Workflow's Preferences. Paste character name and ligatures shoud convert the letter into the correct symbol. (for designing in Photoshop, Illustrator, etc) Paste character code (e.g. f18e) Open in browser. -
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vbTRACK_2D
Bayesian analysis of 2D(x,y) time series particle tracks using Matlab.
Matlab program analyzes 2D (xy) time-series data (tracks) by variaional Bayes, hidden Markov, Gaussian mixture pattern recognition pattern recognition methods. It finds the number of states, the position of each state, and assigns each time-point to its most probable specific state. -
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Live Transcribe Speech Engine
Live Transcribe is an Android application
...Partial hypotheses stream as words are recognized, then stabilize with minimal jitter as confidence increases, which is crucial for usability. The code emphasizes efficient use of CPU and neural accelerators to balance battery life with responsiveness. Deployed in accessibility contexts, it aims for dependable behavior across accents, environments, and intermittent connectivity, with graceful degradation when resources are constrained. -
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SikuliX
SikuliX version 2.0.0+ (2019+)
SikuliX automates anything you see on the screen of your desktop computer running Windows, Mac or some Linux/Unix. It uses image recognition powered by OpenCV to identify GUI components and can act on them with mouse and keyboard actions. This is handy in cases when there is no easy access to a GUI's internals or the source code of the application or web page you want to act on. -
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Lexical Analyzer Generator Quex
Generator of lexical analyzers in C and C++. Unicode Supported.
The goal of this project is to provide a generator for lexical analyzers of maximum computational efficiency and maximum range of applications. This includes the support for Unicode (UTF8, UTF16, ...) and a large variety of other encodings directly and via nested converters such as ICU(tm) and IConv. Sophisticated buffer handling allows to operate on plain file streams, on sockets, or manually fed buffer content. 'Ready-to-build' examples explain related concepts and facilitate practical... -
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.Net Core for Delphi/Lazarus
The best library to work with the .Net Core from Delphi and Lazarus.
The .Net Core for Delphi/Lazarus (dotNetCore4Delphi) is a .Net Core Runtime Library for Delphi which helps Delphi/Pascal developers work with .Net Core. It is designed to provide a way to interact with .Net Core applications from Delphi/Pascal. What dotNetCore4Delphi can do: - Access .Net Core Framework Class Library. - Access Third Party .Net Core Libraries. - Access Your .Net Core Libraries. - etc Competitive Advantages: - Cross-platform framework that runs on Windows, Linux and... -
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This Matlab code is used for demonstration of the effect of CDF-TS as a preprocessing method to transform data. Written by Ye Zhu, Deakin University, April 2021, version 1.0. This software is under GNU General Public License version 3.0 (GPLv3) This code is a demo of method described by the following publication: Zhu, Y., Ting, K.M., Carman, M. and Angelova, M., 2021, April.
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Lambda Networks
Implementation of LambdaNetworks, a new approach to image recognition
Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately. Shinel94 has added a Keras implementation! It won't be officially supported in this repository, so either copy / paste the code under . -
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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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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). ... -
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NLP.js
An NLP library for building bots
NLP.js is an NLP library for building bots, with entity extraction, sentiment analysis, automatic language identifier, and much more. "NLP.js" is a general natural language utility for nodejs. Search the best substring of a string with less Levenshtein distance to a given pattern. Get stemmers and tokenizers for several languages. Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the... -
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Slug Generator Library
Slug Generator Library for PHP, based on Unicode’s CLDR data
This library provides methods to generate slugs for URLs, filenames or any other target that has a limited character set. It’s based on PHPs Transliterator class which uses the data of the CLDR to transform characters between different scripts (e.g. Cyrillic to Latin) or types (e.g. upper- to lower-case or from special characters to ASCII). There are many code snippets and some good libraries out there that create slugs, but I didn’t find anything that met my requirements. ... -
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Unix2Dos
DOS/Mac to Unix and vice versa text file format converter
...In DOS/Windows text files a line break, also known as newline, is a combination of two characters: a Carriage Return (CR) followed by a Line Feed (LF). In Unix text files a line break is a single character: the Line Feed (LF). In Mac text files, prior to Mac OS X, a line break was single Carriage Return (CR) character. Nowadays Mac OS uses Unix style (LF) line breaks. Besides line breaks Dos2unix can also convert the encoding of files. A few DOS code pages can be converted to Unix Latin-1. And Windows Unicode (UTF-16) files can be converted to Unix Unicode (UTF-8) files. -
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Maskara
Format text fields without being affected by input filters
A simple way to format text fields without getting affected by input filters. Used to define how to format the text. Value is used to define the format string. There's no limitation here. You can use any type of character with any type of input filters. maskCharacter is used to define which characters in the format string user can edit. It's not mandatory to define this explicitly. Mask will set the character with most occurrences in the format string as maskCharacter by default. You should... -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. ... -
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SwiftOCR
Fast and simple OCR library written in Swift
SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is... -
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Godot Steering AI Framework
A complete framework for Godot to create beautiful and complex AI
This project is a framework to code complex and smooth AI movement in the Godot game engine, in GDScript, using steering behaviors. It works in both 2D and 3D games. It supports all essential steering behaviors like flee, follow, look at, but also blended behaviors, group behaviors, avoiding neighbors, following a path, following the leader, and much more. While an AI agent's next action is based on decision-making and planning algorithms, steering behaviors dictate how it will move from one... -
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chatbot chung is a keywords based probabilities algorythm simple entertainment chatbot with 3D talking openGL avatars written in freebasic. Can import aiml simple question/answer or question/random/answers or single star/ multi srai data saved from "AIML_chung" open source application . Online html5 javascript version with 44 languages multilingual auto detection available on the website (source included in the zip file). SORT gentext text generation algorythm option added (desktop version) .
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Dissapearing-People
Removing people from complex backgrounds in real time
Person removal from complex backgrounds over time. Removing people from complex backgrounds in real-time using TensorFlow.js in the web browser using JavaScript. This code attempts to learn over time the makeup of the background of a video such that I can attempt to remove any humans from the scene. This is all happening in real-time, in the browser, using TensorFlow.js. This is an experiment. It may not be perfect in all situations. Go ahead and try it right now in your own web browser.... -
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S3 Email
A serverless email server on AWS using S3 and SES
...We wanted something simple, with no interface and no server management, so we came up with S3-Email. This included AWS SES as our email server (receive and send) and S3 as our database and interface. Then we tied everything together with a bit of code via AWS Lambda. The result is an unmanaged email server with unlimited email addresses that also offers the benefit of easily organizing messages by adding the + character to the email names. The + is converted to a /, which correlates to an object path in S3.
