Showing 8 open source projects for "plotting"

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  • 1
    pycm

    pycm

    Multi-class confusion matrix library in Python

    PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.
    Downloads: 0 This Week
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  • 2
    Open Interpreter

    Open Interpreter

    A natural language interface for computers

    Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have...
    Downloads: 34 This Week
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  • 3
    Freqtrade

    Freqtrade

    Free, open source crypto trading bot

    Freqtrade is a free and open-source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or WebUI. It contains backtesting, plotting, and money management tools as well as strategy optimization by machine learning. Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect. We strongly recommend you have basic coding skills and Python knowledge. Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms, and techniques implemented in it. ...
    Downloads: 5 This Week
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  • 4
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    ...Future regressors (in advance known features, e.g. temperature forecast). Country holidays & recurring special events. Sparsity of coefficients through regularization. Plotting for forecast components, model coefficients as well as final predictions. Automatic selection of training-related hyperparameters.
    Downloads: 1 This Week
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  • 5
    AutoViz

    AutoViz

    Automatically Visualize any dataset, any size

    ...The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the data. AutoViz supports a wide range of visualization types including scatter plots, histograms, bar charts, and correlation plots, making it suitable for analyzing both structured and large datasets. ...
    Downloads: 0 This Week
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  • 6
    Introduction to ML with Python

    Introduction to ML with Python

    Notebooks and code for the book "Introduction to Machine Learning

    ...Chapters cover machine-learning foundations, supervised and unsupervised methods, feature engineering, model evaluation, pipelines, and text processing. The included mglearn helper library supplies educational datasets, plotting functions, and figures used throughout the material. Most required datasets are bundled, although the ACL IMDb data must be downloaded separately. Setup instructions cover NumPy, SciPy, scikit-learn, Matplotlib, pandas, Pillow, Graphviz, NLTK, and spaCy. The repository is best treated as a hands-on learning companion whose older dependency assumptions may require adjustment in modern Python environments.
    Downloads: 5 This Week
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  • 7
    Scikit-plot

    Scikit-plot

    An intuitive library to add plotting functionality to scikit-learn

    Single line functions for detailed visualizations. 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...
    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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