Search Results for "handwriting recognition code" - Page 2
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Showing 62 open source projects for "handwriting recognition code"
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cerberuscms2
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content... -
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Botpress
Dev tools to reliably understand text and automate conversations
We make building chatbots much easier for developers. We have put together the boilerplate code and infrastructure you need to get a chatbot up and running. We propose you a complete dev-friendly platform that ships with all the tools you need to build, deploy and manage production-grade chatbots in record time. Built-in Natural Language Processing tasks such as intent recognition, spell checking, entity extraction, and slot tagging (and many others). -
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SGHNetMultiLang
NET WinForm One-Click Multi-Language Interface Generation
A Net, WinForm window project can be automatically generated into a multi-language interface, you just need to set the language to be displayed (such as: English, Chinese, Russian, French, German ...) Just generate it. -
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React Native Voice
React Native Voice Recognition library for iOS and Android
A speech-to-text library for React Native. Manually or automatically link the NativeModule. Drag the Voice.xcodeproj from the @react-native-voice/voice/ios folder to the Libraries group on Xcode in your project. Click on your main project file (the one that represents the .xcodeproj) select Build Phases and drag the static library, lib.Voice.a, from the Libraries/Voice.xcodeproj/Products folder to Link Binary With Libraries. The plugin provides props for extra customization. Every time you... -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action... -
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libfacedetection
Library for face detection in images
This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory... -
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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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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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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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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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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. ... -
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ATX
Smart phone automation tool. Support iOS, Android, WebApp and game
ATX (AutomatorX) is an open source automated testing tool that supports testing native applications, games, and Web applications on iOS and Android platforms. Use Python to write test cases, and use image recognition and control positioning technology to complete the automation of the game. Attach a dedicated IDE to complete scripting quickly. The libraries for Android and iOS native application testing have been separated and can be used alone (it is strongly recommended to use it alone, firstly, it has less dependencies and high stability, and secondly, it can be automatically completed when writing code) -
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Caffe Framework
Caffe, a fast open framework for deep learning
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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NSIS 4 NetBeans
NSIS (Nullsoft Scriptable Install System) plugin for NetBeans IDE
NOTE: Code has been migrated to Github and the project will continue there! See https://github.com/StephenChamberlain/nsis4netbeans Provides support for NSIS (Nullsoft Scriptable Install System) in NetBeans IDE. Features include file type recognition for *.nsi script files and *.nsh header files, file type recognition for *.nsddef and *.nsdinc NSIS Dialog Designer files and syntax highlighting. -
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YYModel
High performance model framework for iOS/OSX
The conversion performance is close to handwriting code. The object types can be automatically converted. All data types will be verified to ensure type-safe during the conversion process. There is no need to make the model class inherit from other base class. This library contains only 5 files. Docs and unit testing, 100% docs coverage, 99.6% code coverage. You can map a json key (key path) or an array of json key (key path) to one or multiple property name. ... -
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libVMR
VMR - machine learning library
...The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification). -
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P* (P-star) is a web programming language. P* targets to incorporate common tasks like template handling and database queries into the language. P* is currently in development, and help is needed with writing new functionality and testing. Functionality P* has by now is MySQL database access with prepared statements, HTML templates, standard arithmetic and variables, functions, structs, (to-be-classes), JSON output, GET and POST. Say hello on the mailing list if you want to...
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
..., WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer Vision and Pattern Recognition, 2012. This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers. -
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RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/
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LEE_FSM
Finite State Machine; PHP; LUA;
The software resents an executable specification language based on deterministic finite automata, this allows the user to perform tests of word recognition in the state machines that are defined by it. Moreover, it’s possible for the user to assign snippets of code to be executed every transition automaton, these snippets can be described in Lua or PHP programming language. To test that were conducted in the language, was developed a compiler that recognizes words and generates object code. -
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JDrawingPanel
a java based drawing panel
a drawing panel module in java using swing for hand written input based projects. CHECK OUT AND SUPPORT MY LATEST ANDROID PROJECTS IN HERE: https://play.google.com/store/apps/developer?id=Deepak+PK -
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This system provides printed and cursive handwriting recognition service as a shared library on GNU/Linux/Unix systems. Until someone writes another client, try the S/HIP: https://sourceforge.net/projects/ship-project/
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Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
