使用统计和计量经济学模型的闪电般快速预测。
neuralprophet 开源项目推荐(32 个)
neuralprophet 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 32 个仓库NeuralProphet: A simple forecasting package
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.
Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet
Time Series Forecasting with Neural Prophet
TreasureTrack is a web application designed to forecast stock prices using the NeuralProphet model. It allows users to select from a range of popular stocks, view their historical price data, and predict future prices over a customizable number of days
This Trained model will predict the temperature of Melbourne (Australia) from 2016 onwards. I have used Neural Prophet module to train the model.
Bitcoin price prediction using LSTM, RNN, Neural prophet
This is a time series forecast project I did with Jennifer Rodriguez-Trujillo during Summer, 2022 to benchmark Facebook AI's NeuralProphet.
Evapotranspiration forecasting using FBProphet and NeuralProphet.
Horizon is an extensible Python library for time series forecasting that unifies statistical, machine learning, and Bayesian forecasting models under a single API. Includes ensemble forecasting, model evaluation, visualisation, exporting, and support for future exogenous variables, makes it easy to build, compare, and deploy forecasting workflows
Creating Time Series Model for Air Flight Dataset
Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.
Panel time-series forecasting notebooks (daily sales across stores × items). Clean validation (holdout + rolling-origin backtest), strong statistical baselines (SARIMAX/TBATS/ARIMA), and automated models (AutoTS), with optional Prophet/Darts/NeuralProphet. Primary metric: SMAPE.
BTC trading volume seasonality
running prediction models such as arima, fbprophet and neuralprophet on cpu-load datatset of server to predict trend of cpu utilisation.
Predicting sales behavior through time series modeling with some of the libraries available in Python
📊 Explore panel time-series forecasting techniques for sales using popular Python libraries like ARIMA, Prophet, and AutoTS in Jupyter notebooks.
Time series forecasting with NeuralProphet & macroeconomic regressors
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/neuralprophet。
- 该话题在 GitHub 上共有 32 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 9537 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。