Showing 5 open source projects for "neural net python"

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  • 1
    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 with...
    Downloads: 0 This Week
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  • 2
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,...
    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. ...
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  • 4
    Open Exchange (OpEx)

    Open Exchange (OpEx)

    The open source Algorithmic Trading System

    OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.
    Downloads: 0 This Week
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  • 5

    Effacor

    Protect sensitive data that has been deleted from recovery.

    When a file is deleted from a device the space for that file is merely de-allocated. In short: The DATA contained in that file still remains, and can be recovered. This can quickly become a security concern. There are various areas of business where this scenario is unacceptable: HIPAA Protected Medical Information, and Financial Data amongst them. Client Data must be protected from recovery in the event of theft. Blue-Pencil was created to fulfill that. "Blue-Pencil" protects...
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