Search Results for "labeling"
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Showing 16 open source projects for "labeling"
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Sparrow Wallet
Desktop Bitcoin Wallet focused on security and privacy
Sparrow Wallet is an open-source, desktop-focused Bitcoin wallet designed for users who value complete control, security, and privacy when managing their Bitcoin funds. It provides a rich graphical interface that exposes Bitcoin’s underlying UTXO model rather than hiding it behind abstractions, helping users understand every input, output, and fee involved in transactions. Sparrow supports advanced workflows such as Partially Signed Bitcoin Transactions (PSBT), multisignature setups,... -
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Aegis Authenticator
A free, secure and open source app for Android
...Unlike many proprietary MFA apps, Aegis is designed with user privacy and local control in mind, storing secrets only on the device in an encrypted vault protected by PIN or biometric unlock, and offering features like backups encrypted with a user-chosen passphrase. It supports importing accounts from QR codes, exporting encrypted backups for safe storage, and grouping or labeling tokens so managing dozens of accounts is simple. Aegis also offers options for custom token configuration, including changing issuer names, digits, and intervals, and includes a robust recovery mechanism in case a device is lost. It has a material design interface that makes navigation intuitive, and its open-source license ensures transparency. -
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beCPG PLM (Product Lifecycle Management)
New Product Development, Projects and Quality management
...In a few words, beCPG offers the following features: - Product repository to manage finished products, recipes, raw materials and packaging with their technical and regulatory data - Formulation to calculate automatically allergens, ingredients, nutrient facts, costs, labeling, ... - Product specification generator for clients, R&D and production - Project management to manage new product development from ideas until market launch - Customer complaints -
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DataGym.ai
Open source annotation and labeling tool for image and video assets
...Your image data can be imported into DATAGYM from your local machine, from any public image URL or directly from an AWS cloud S3 bucket. Machine learning teams spend up to 80% of their time on data preparation. DATAGYM provides AI-powered annotation functions to help you accelerate your labeling task. The Pre-Labeling feature enables turbo-labeling – it processes thousands of images in the background within a very short time. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Google Authenticator Android
Open source fork of the Google Authenticator Android app
Google Authenticator for Android is the open-source two-factor authentication app that generates time-based (TOTP) and counter-based (HOTP) one-time codes entirely on the device. It’s designed to be simple, offline, and standards-compliant, so any service that supports OATH OTP can interoperate with it. The app streamlines enrollment via QR codes or manual key entry, then displays rotating numeric codes with clear account labels to reduce mistakes during login. Because secrets are stored on... -
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Firing Range
Firing Range is a test bed for web application security scanners
Firing Range is an intentionally vulnerable web application designed to evaluate the real-world effectiveness of web security scanners and training exercises. Deployed as a cloud-friendly app, it aggregates dozens of vulnerability patterns in repeatable, labeled routes so tools can be benchmarked on coverage and noise. The project doesn’t just include simple XSS forms; it spans variants such as DOM-based issues, context-sensitive sinks, template mishandling, CSRF, open redirects, and mixed... -
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SimpleTAG
Massive audio tagger
...The most convenient is to use the concept of libraries that handle the big market music players: iTunes, Amarok, Windows Media Player, Google Music, ..etc The labels of music files contains all information on artist, album, genre, title, lyrics ... etc, associated with a song. This information is used by music players to manage their libraries. A good labeling enhances the user experience. Do you want your music in the cloud? Then before, you have to check the tag information is correct before incorporating. If you do not, you will be unable to locate many of your songs. -
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Java Library for Machine Learning
A pure Java library for machine learning
JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML. -
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OpenFlux2 is an extended version of OpenFLUX (https://sourceforge.net/projects/openflux/) - the modern MATLAB-based modelling software for 13C flux analysis (MFA). The following features were implemented in OpenFLUX2, which were not present in original software: integrated support for calculation and analysis of parallel labeling experiments (PLE), extended statistical analysis of parameter estimation results, calculation of fluxes and measurements correlation, structural identifiability analysis and elements of experimental design.
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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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Extract Objects from Image
Connected Component Labeling Algorithm - Extracting Objects From image
fast Connected Component Labeling Algorithm - java application - Extracting Objects From image -
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by... -
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The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is: Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002 The ImageJ *Shape Filter Plugin* (see downloads) uses this library for flitering the blobs by its shape. If you are using IJBlob in a scientific publication, please cite: Wagner, T and Lipinski, H 2013. ...
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Text Labeling
A open source module which labels your texts.
Text Labeling is a open source module which labels your texts. You can feed the module with any text and the module give as response a label according to this. -
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PHN/LAB file format converter
Convert the format of speech label files
Research in speech processing requires labeling and segmentation of speech signals, i.e., label files. Two useful formats for label files are the CSLU format (.phn extension) and the HTK format (.lab extension). This program converts speech label files from any of these two formats to the other one. Do this: 1- Provide the source directory (directory where the original label files are). 2- Provide the destination directory (directory where the new label files will be placed). 3- Select the operation, either phn->lab or lab->phn. 4- Press the Process! ... -
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This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.
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A Mass Spectrometer B and Y ion labeling software for proteomics researchers. Peptide sequences can be read from a library and b and y ions will be calculated and sequence can be manipulated by the user (chem. mod. or amino acid mod.)
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