Search Results for "labels" - Page 3
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Showing 90 open source projects for "labels"
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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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TensorFlow.js models
Pretrained models for TensorFlow.js
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You... -
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GtkDatabox
A GTK+-3 widget to display data
GtkDatabox is a widget for live display of large amounts of fluctuating numerical data. Data presentation (e.g. on linear or logarithmic scales, as dots or lines, with markers/labels) as well as user interaction (e.g. measuring distances) is easy. -
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tcl-flexmenu
An alternative menu system for Tcl
An alternative menu system for Tcl that allows any widget to be placed in the menu, standard checkbutton and radiobutton widgets and scrollable menus. -
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Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”... -
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Kopf
A Python framework to write Kubernetes operators
Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). -
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LOG HOUSE
Ready to use log management solution for Kubernetes storing data
Ready to use log management solution for Kubernetes storing data in ClickHouse and providing web UI. Ready to use log management solution for Kubernetes. Efficiently store big amounts of your logs (in ClickHouse database), process them using a simple query language and monitor them online through web UI. Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. However, we (Flant) use it in our production Kubernetes deployments since September 2017. Data... -
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giwth
Implement tests using nested Given, When, Then
...The Kotlin implementation supports 'suspend' functions: for any issue, there are two ("suspendable" and "nonsuspendable") kinds, that can be toggled between, while in the same foremost issue. Each issue can be labelled, and return values from corresponding code blocks can be referred to (or addressed, by nesting level), and searched using labels; wildcard matching is available too. Unlabelled given/then/when are not searchable, their return values are stored as the foremost issue's pending result. Supporting coroutines for unit or instrumented tests in Android is under development. -
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MultiProgressView
An animatable view that depicts multiple progresses over time
...The library supports both programmatic and storyboard-based integration, making it flexible for different development workflows. It also includes extensive customization options such as colors, borders, labels, and layout properties, allowing developers to tailor the component to match their application’s design. -
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Intl MessageFormat
Format a string with placeholders, including plural
...This package aims to provide a way for you to manage and format your JavaScript app's string messages into localized strings for people using your app. You can use this package in the browser and on the server via Node.js. A very common example is formatting messages that have numbers with plural labels. With this package you can make sure that the string is properly formatted for a person's locale. -
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Signale Library
Highly configurable logging library
...The library provides many default logger types so teams can express states like success, warning, pending, debug, fatal, and completion without building their own formatters. It is also deeply customizable, allowing custom logger types, scopes, streams, labels, badges, colors, and log levels. Signale includes practical features such as timers, sensitive information filtering, string interpolation, TypeScript support, and package-level configuration. Its main value is making terminal output cleaner, more structured, and easier to adapt to different projects. -
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bbplot
R package that helps create and export ggplot2 charts
...It provides functions and themes that make it easier to adopt BBC’s visual style (fonts, colors, annotations, layout) in ggplot2 plots. The package includes helper functions for axis labels, captions, legends, branding (e.g. BBC red lines or accents), and common chart types styled for editorial presentation. It offers templates and defaults that reduce styling overhead so users can focus on data and storytelling rather than aesthetic minutiae. Because visual consistency is important in media, bbplot helps non-designers build plots that align with professional publication standards. ... -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more robust to noise and adversarial examples. This repository implements mixup for the CIFAR-10 dataset, showcasing its effectiveness in improving generalization, stability, and calibration of neural networks. The approach acts as a regularizer, encouraging linear behavior in the feature space between samples, which helps reduce overfitting and enhance performance on unseen data. -
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tcomb-form
Forms library for react
...This makes it useful for applications with many structured forms where hand-writing every input would create repetitive code. The project supports customization through templates, options, labels, placeholders, and field-level configuration. Although it belongs to an older React ecosystem, it remains a clear example of model-driven form generation for web applications. -
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GitScrum
A project management tool, developed to Skyrocket Productivity
GitScrum is a Project Management Tool, developed to help entrepreneurs, freelancers, managers, and teams Skyrocket their Productivity with the Agile methodology and Gamification. It’s a powerful and functional tool you can use to organize your projects and manage your team's tasks within workspaces. GitScrum brings all the important features for you to establish high-standard objectives and lead your team to reach them, working in an interactive and collaborative way. It facilitates task... -
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
...Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded memory saving code. You can also plot like so : Plot figure; figure.plot(x, y, x.size()); Plotting utilises GtkDataBox.sf.net ORB utilises www.zeroc.com Feed forward neural networks with different activation functions. ... -
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The Two-Layered GUI Toolkit
Provides common dialogs and widgets with a GUI-toolkit-agnostic layer.
A .NET/Mono library that provides frequently used dialogs and GUI components. All dialogs are provided in two layers, an abstract description layer and a toolkit-specific GUI layer. -
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MOBIDICK (MOdular But IntegrateD applICation frameworK) is dedicated to gather as less as possible Java frameworks in order to complete full needs of large business application and allow regeneration of code, even when java frameworks change.
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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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dep-trace
gdeptrace dependancy solver correct for pkg or make deps
gdeptrace sorts an input dependancy list or table and prints it, and can do other actions. It's default operation is to act like tsort (1) except that it sorts by pure pkg / make dependancy (tsort sorts by grapical topology: see notes about differences). EXAMPLE: $ echo -e "b e\ne\nc b" | sort -k1,1 | gdeptrace [opts] e b c (b depends on e, c depends on b, e has no depends) (also: e has more items depending on it and is below anything it depends on; in this case... -
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Decision Tree
ID3-based implementation of the ML Decision Tree algorithm
...It can train models from discrete, continuous, or mixed attribute data. Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input. Its Ruleset trainer converts a tree into pruned rules using a held-out portion of the training data. A bagging trainer builds ten rulesets and combines their predictions through voting. -
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Clicktrace
An intelligent screen capture application
It's main idea is to automatically take screenshots whenever something changes on the screen. Focus on the task not being bothered by screenshots recording in the background. Record test cases, documentation, or whatever you want. Cross-platform. Requires Java 6 or higher. Integrated with JIRA. Published under GPL open-source license. Created by Marcin Nikliborc. -
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ChartsClass
Class to create simple charts in Gambas + sample program
This class implements a line chart and a bar chart - and now pie-chart too (upd nov 2013). In the simplest use, start from an array of values to draw a chart. Choose options to switch on/off titles, labels, values on the graph. Choose to supply min and max value and adjust the dimensions in the chart. Use the class in your project by copying the source in your project, or as component (from v 0.6) by compiling with "make executable" option. Find out how to use it by the included example program: The class is delivered as part of a complete project, so that you can try it out. ... -
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AmarokLabelToM3UPlaylist
A command-line tool for exporting Amarok labels to M3U playlists
This is a tool that opens the Amarok's mySQL database and exports the Amarok labels as M3U playlists. The tool is command-line based, which is handy for backup purposes. -
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dcScript
A new esoteric programming language
dcScript is a new programming language. It's an esoteric language, it means that it can be hard to code with but don't worry it's a easy to use esoteric language here is an example : [sayHello]: sysprtn "Hello the World !" wait ] call sayHello quit The language is interpreted by a simple interpreter. The interpreter is coded in C# with Mono and .NET frameworks so it's portable and useable on Windows, Linux and Mac. -
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knowceans
Utility classes from maps to search engine to random samplers
.... --- Highlights: --- org.knowceans.util: IndexQuickSort, TableList: apply order of one array/list to others +++ Vectors, ArrayUtils: array convenience +++ RandomSamplers, CokusRandom, ArmSampler, Densities: random sampling and distributions +++ Arguments: command line parser +++ StopWatch, Which, ExternalProcess: runtime stuff +++ ParallelFor: OpenMP workalike +++ PatternString, NamedGroupRegex: regex convenience --- org.knowceans.corpus: CorpusSearcher: full-text search engine +++ LabelNumCorpus: svmlight corpus storage and filtering +++ NIPS corpus with text, authors, labels and citations --- org.knowceans.map: InvertibleHashMultiMap, BijectiveHashMap: implement n:m and 1:1 relations. --- Other libs: knowceans-arms = port of the Adaptive Rejection Metropolis Sampler (ARMS) for arbitrary distributions +++ lda-j = port of lda-c, implementing Latent Dirichlet Allocation (LDA)