Showing 71 open source projects for "labels"

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  • 1
    Kopf

    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).
    Downloads: 1 This Week
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  • 2
    textgenrnn

    textgenrnn

    Easily train your own text-generating neural network

    ...Utilize a powerful CuDNN implementation of RNNs when trained on the GPU, which massively speeds up training time as opposed to typical LSTM implementations. Train the model using contextual labels, allowing it to learn faster and produce better results in some cases.
    Downloads: 0 This Week
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  • 3
    ChainerCV

    ChainerCV

    ChainerCV: a Library for Deep Learning in Computer Vision

    ...Dataset classes whose names end with BboxDataset contain annotations of where objects locate in an image and which categories they are assigned to. These datasets can be indexed to return a tuple of an image, bounding boxes and labels. ChainerCV provides several network implementations that carry out object detection.
    Downloads: 0 This Week
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  • 4
    NeuroNER

    NeuroNER

    Named-entity recognition using neural networks

    ...During the training, NeuroNER allows monitoring of the network. Evaluate the quality of the predictions made by NeuroNER. The performance metrics can be calculated and plotted by comparing the predicted labels with the gold labels.
    Downloads: 0 This Week
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  • 5
    brother_ql

    brother_ql

    Python package for raster language protocol of the Brother QL series

    A Python package to control Brother QL label printers. It implements the raster language of those printers and allows you to send instruction files to your printer. In more details, the following is possible with this package. Create raster language files for the Brother label printers. They can be created from image files or programmatically in your own Python script. Print raster instruction files with your Brother label printer via different backends pyusb (works cross-platform) network...
    Downloads: 3 This Week
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  • 6
    Mixup-CIFAR10

    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.
    Downloads: 0 This Week
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  • 7
    Scikit-plot

    Scikit-plot

    An intuitive library to add plotting functionality to scikit-learn

    ...Scikit-plot is the result of an unartistic data scientist's dreadful realization that visualization is one of the most crucial components in the data science process, not just a mere afterthought. Gaining insights is simply a lot easier when you're looking at a colored heatmap of a confusion matrix complete with class labels rather than a single-line dump of numbers enclosed in brackets. Besides, if you ever need to present your results to someone (virtually any time anybody hires you to do data science), you show them visualizations, not a bunch of numbers in Excel. That said, there are a number of visualizations that frequently pop up in machine learning. ...
    Downloads: 0 This Week
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  • 8
    Scattertext 0.2.1

    Scattertext 0.2.1

    Beautiful visualizations of how language differs among document types

    A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding to terms are selectively labeled so that they don't overlap with other labels or points.
    Downloads: 0 This Week
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  • 9
    Statuspage

    Statuspage

    A statuspage generator that lets you host your statuspage for free

    Statuspage is an open-source status page generator that enables teams to publish service health dashboards directly from GitHub infrastructure. The tool automatically converts GitHub issues into incident reports and uses labels to represent severity levels, allowing teams to manage incident communication through familiar workflows. It is designed to be hosted for free on GitHub Pages, making it especially attractive for startups and open-source projects that want transparent uptime communication without additional hosting costs. The system supports customization of styles, branding, and layout so organizations can match their public status presence to their product identity. ...
    Downloads: 0 This Week
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  • 10
    Matplotlib tutorial

    Matplotlib tutorial

    Matplotlib tutorial for beginner

    ...It provides a sequence of example scripts and notebooks that cover fundamental plotting tasks: line graphs, histograms, scatter plots, bar charts, customizing axes, labels, legends, and styling. This makes it ideal for someone learning data analysis or exploratory data visualization for the first time and needing concrete, runnable examples rather than abstract explanations. As the tutorial builds progressively, learners can gradually advance from simple static plots to more complex visualizations, learning how to control figure size, add multiple subplots, adjust plot aesthetics, and handle different data types. ...
    Downloads: 0 This Week
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  • 11
    SciEnPlot

    SciEnPlot

    Data Plotting and Analysis for Science and Engineering

    ... - Implemented a 3d surface plot (GLSurface) based on OpenGL (ScienPlot v1.3.2 and above) - ColorMap surface, trisurface, Pie, Polar plots, and 3D height field, 3dBar, scatter plots (under developing), and more - Column by column plotting/calculation - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) formatted data - Save, copy, print Graph - Use spread sheets to display data - Textboard to organize the results - Graphs in a publishable quality - Source codes based on: Python Numpy Scipy Matplotlib WxPython Visvis etc. - Special functions - Drag and drop data files - Python console is back (since v1.3.3), capable of reusing column data - Debye and Guinier models for SANS / SAX data - More apps in our Web below
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    Downloads: 1 This Week
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  • 12
    CorEngine
    CorEngine is a work in progress, OpenGL graphics powered 3D game engine designed to help independent game developers with quick prototyping and game/virtual environment creation. The engine supports a standard set of features, like skeletal animation, post processing, Lua/C programming, physics powered by Bullet Physics, GUI and 2D/3D Audio.
    Downloads: 2 This Week
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  • 13
    Simple Blogger
    New version was released! Visit https://github.com/jsnjack/simpleblogger to download Simple Blogger is a small and very easy to use application that enables you to quickly write and publish a new post of your blog. Available in Windows and Linux. Simple Blogger has written on Python with wxPython.
    Downloads: 1 This Week
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  • 14

    Game Over Again

    Find continuous bombs

    The game consists of a rectangular board increasing its dimensions every so. User must find where the bombs are. Labels show how many continuous bombs exist horizontally and vertically.
    Downloads: 0 This Week
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  • 15

    Botnet Detectors Comparer

    Compares botnet detection methods

    Compares botnet detection methods by computing the error metrics by reading the labels on a NetFlow file. The original NetFlow should have a new column for the ground-truth label, and a new column with the prediction label for each botnet detection method. This program computes all the error metrics (TPR, TNR, FPR, FNR, Precision, Accuracy, ErrorRate, FMeasure1, FMeasure2, FMeasure0.5) and output the comparison results.
    Downloads: 0 This Week
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  • 16
    BaGoMa backs-up and restores the contents of a GMail account. It can restore all the labels (folder structure), as well as the flags (seen/read, flagged) of a message.
    Downloads: 0 This Week
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  • 17

    KBarcode

    KBarcode is a barcode and label printing application for KDE 4.

    KBarcode is a barcode and label printing application for KDE 4. It can be used to print every thing from simple business cards up to complex labels with several barcodes (e.g. article descriptions). KBarcode comes with an easy to use WYSIWYG label ...
    Downloads: 13 This Week
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  • 18

    MRI Atlas Application

    MRI Brain atlas application

    Application to use MRI brain atlases composed of template images and label images pairs. This application will segment MRI images using labels provided by the atlas. The labels are combined using the voting fusion technique. Please visit our page at http://www.brain-development.org.
    Downloads: 0 This Week
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  • 19
    A tag based personal note taking system, written in python using sqlite. This program is designed to help you organize your thoughts. It uses tags in a way similar to Gmail's "labels" or del.icio.us tags. Any contribution welcome!
    Downloads: 0 This Week
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  • 20
    PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.
    Downloads: 0 This Week
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  • 21
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ...ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.
    Downloads: 0 This Week
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