Library/neural_prophet
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ourownstory/neural_prophet

neural_prophet

NeuralProphet: A simple forecasting package

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ourownstory

ourownstory

ourownstory • individual

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512

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Created

May 4, 2020

Project creation date

README Summary

NeuralProphet is a Python forecasting library that extends Facebook's Prophet by incorporating neural networks for improved time series prediction. It maintains Prophet's user-friendly interface while adding capabilities for handling multiple time series, autoregression, and custom loss functions. The package is designed to be more flexible and scalable than the original Prophet while preserving its simplicity.

AI Dev Skills

Unmapped

Time Series ForecastingNeural Network ArchitectureProphet ModelsAutoregressive ModelingDeep Learning for Sequential DataStatistical ForecastingFeature Engineering for Time Series

Tags

Time Series ForecastingNeural Network ArchitectureProphet ModelsAutoregressive ModelingDeep Learning for Sequential DataStatistical ForecastingFeature Engineering for Time SeriesSupply ChainOn-premiseFinanceEconomic Indicator PredictionTabularEnergySales Revenue ForecastingHybrid Classical-Neural ModelsFinancial Time Series PredictionSelf-hostedResource PlanningInventory ManagementRetailCloud APITransportationInterpretable AIBusiness Demand ForecastingPython

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Recent Activity

Updated 1 years ago

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Quality

beta
Quality
medium
Maturity
beta

Categories

AI AgentsPrimaryFinance & LegalData Science & AnalyticsOther AI / ML

PM Skills

Product DiscoveryUser Experience

Languages

Python100.0%

Timeline

Project created
May 4, 2020
Forked
Mar 22, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Jan 8, 2025

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