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Lightning ⚡️ fast forecasting with statistical and econometric models.
Created
2021-11-24
1,352 commits to main branch, last one 3 days ago
NeuralProphet: A simple forecasting package
Created
2020-05-04
1,464 commits to main branch, last one 3 months ago
If you can measure it, consider it predicted
Created
2020-02-20
2,277 commits to master branch, last one 7 days ago
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
Created
2021-04-14
269 commits to main branch, last one 7 months ago
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Created
2019-04-02
130 commits to main branch, last one about a year ago
Hierarchical Time Series Forecasting with a familiar API
Created
2019-11-23
237 commits to master branch, last one about a year ago
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Created
2018-03-13
393 commits to master branch, last one 3 years ago
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Created
2020-06-29
284 commits to master branch, last one 2 years ago
Time Series Analysis and Forecasting in Python
numpy
stats
pandas
sarimax
python-3
fbprophet
stats-api
arima-model
statsmodels
moving-average
prophet-facebook
arima-forecasting
lstm-neural-networks
time-series-analysis
univariate-timeseries
multivariate-timeseries
time-series-forecasting
holt-winters-forecasting
machine-learning-algorithms
deep-learning-for-time-series
Created
2019-12-29
40 commits to master branch, last one 5 months ago
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
Created
2020-05-18
36 commits to master branch, last one 2 years ago
deploying an ML model to Heroku with FastAPI
Created
2020-07-02
7 commits to main branch, last one about a year ago
In this project two models are build a Multivariate CNN-LSTM model using keras and tensorflow, ARIMA model, and FbProphet. In multivariate CNN-LSTM five feature are given as a input to the model and ...
Created
2023-03-28
12 commits to main branch, last one about a year ago