neuralprophet

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

This Trained model will predict the temperature of Melbourne (Australia) from 2016 onwards. I have used Neural Prophet module to train the model.

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

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.

Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.

Creating Time Series Model for Air Flight Dataset

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

Fork of Nixtla/statsforecast. Lightning ⚡️ fast forecasting with statistical and econometric models.

Streamlit test project for time-series-forecasting library NeuralProphet

About Building a neural weather prophet forecasting model to predict weather trends for Australia on a Kaggle dataset