Showing 7 open source projects for "model-builder"

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  • 1
    Prophet

    Prophet

    Tool for producing high quality forecasts for time series data

    Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting...
    Downloads: 6 This Week
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  • 2
    PyTorch Forecasting

    PyTorch Forecasting

    Time series forecasting with PyTorch

    PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along...
    Downloads: 3 This Week
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  • 3
    NeuralProphet

    NeuralProphet

    A simple forecasting package

    NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in doubt...
    Downloads: 0 This Week
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  • 4
    Deep learning time series forecasting

    Deep learning time series forecasting

    Deep learning PyTorch library for time series forecasting

    Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series...
    Downloads: 3 This Week
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  • 5
    Rapid ERP Development

    Rapid ERP Development

    Great Open Source Plugins For iDempiere ERP Project

    I created a set of simple plugins to use iDempiere ERP with Unicenta POS, Android Scanner, Budgeting, Warehousing, Manufacturing, on-the-fly generators for App Dictionary, CRM Board and Charts, Kanban Board, Translation and more. Always complete with full technical documentation, blogs and movie tutorials. No information hiding. Its the open source sharing passion and i wanted to give it all back. Much of my present work is sponsored by SYSNOVA, the largest iDempiere conglomerate user and...
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    Downloads: 65 This Week
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  • 6
    Orange Effort Estimation Tool

    Orange Effort Estimation Tool

    Estimate software development effort with 5 different methods

    This tool enables software development effort estimation using 5 different methods. All industry standard methods are used. COCOMO II This is a model for effort estimation. The use of the model enables effort estimation from non-experts (e.g. not developers). Work Breakdown Estimation This is an effort estimation method based on expert judgment. Two options are available: Delphic Oracle and Three Point Estimation. Analogy / Comparison Estimation This method tries...
    Downloads: 1 This Week
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  • 7
    This project will produce a formal, open source System Dynamics information model specification document to rigorously define the set of model objects, their relationships, their attributes, and the operations performed during modeling and simulation.
    Downloads: 0 This Week
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