Popular GitHub Repositories for Fbprophet

NeuralProphet: A simple forecasting package

If you can measure it, consider it predicted

Hierarchical Time Series Forecasting with a familiar API

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).

Dashboard to simulate the flow of stream data in real-time, as well as predict future satellite telemetry values and detect if there are anomalies.

A Demo for RedisGears function that uses fbprophet for timeseries prediction

Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet

Stock Analysis using a Time Series Prediction Model

Experiment tracking for Prophet. ? Log, organize, visualize and compare model parameters, forecasts, and more.

A Comprehensive Time Series Analysis for Dynamic Sales Forecasting

The stock price forecasting results for 5 leading technology companies: Meta (META), Tesla (TSLA), NVIDIA (NVDA), Microsoft (MSFT), and Apple (AAPL). This analysis uses three popular prediction models: LSTM (Long Short-Term Memory), ARIMA (AutoRegressive Integrated Moving Average), and FBProphet.

Evapotranspiration forecasting using FBProphet and NeuralProphet.

Repositório do TCC de 2023 de Ciência de Dados e Inteligência Artificial

Predicting the Advertisement Revenue for a auction website along with setting the range of bidding values for next auctions.

Finapred is a finance predictor app that uses fbprophet, binance api and streamlit framework to predict stock forecast. https://hub.docker.com/r/dockerx0d/finapred

Supervised ML Time Series project using FBProphet

running prediction models such as arima, fbprophet and neuralprophet on cpu-load datatset of server to predict trend of cpu utilisation.

A Predictive model that finds the growth pattern COVID-19 virus and predicts the future number of cases affected by the virus by using a time series forecast module called fbprophet