forecasting-models
There are 333 repositories under forecasting-models topic.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
business-science/timetk
Time series analysis in the `tidyverse`
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
firmai/atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
artefactory/streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
PYFTS/pyFTS
An open source library for Fuzzy Time Series in Python
KasperGroesLudvigsen/influenza_transformer
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
openclimatefix/graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
GIS4WRF/gis4wrf
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
business-science/sweep
Extending broom for time series forecasting
ajayarunachalam/Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
keblu/MSGARCH
MSGARCH R Package
shellshock1911/Sky-Cast-Capstone
Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
quantsense/TimeSeries_Notebooks_Collections
Jupyter Notebooks Collection for Learning Time Series Models
zachrenwick/streamlit_forecasting_app
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
BirchKwok/spinesTS
spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.
KrishnanSG/holt-winters
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.
QGoGithub/Python_ds_Research
Python based Quant Finance Models, Tools and Algorithmic Decision Making
asael697/bayesforecast
Automatic forecasting and Bayesian modeling for time series with Stan
jstriaukas/midasml
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
hawkular/hawkular-datamining
Real-time time series prediction library with standalone server
kennedyCzar/FORECASTING-1.0
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
avikumart/Time-series-analysis-and-forecasting
In this repository, I have mentioned all the time series analysis methods from statsmodels library to analyse and model time-series data.
nickvzorn/financial-forecast
Personal Financial Forecasting Model
jaydipkumar/Data-Science-Python
Data Science Python Beginner Level Project
Akai01/caretForecast
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
asavinov/lambdo
Feature engineering and machine learning: together at last!
IDA-HumanCapital/fife
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
ManojKumarMaruthi/Time-Series-Forecasting
Forecasting Monthly Sales of French Champagne - Perrin Freres
rsyamil/timeseries-rnn
Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.
ssilvacris/Finance-Projects
This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.
andresC98/TSF_Transformers_TFM
Repository containing my Master Thesis for the M.Sc. Big Data Analytics, titled "Time Series Forecasting with Transformers".
jinit24/ARIMA-Model
ARIMA model from scratch using numpy and pandas.
kennedyCzar/ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
marlonrcfranco/soyforecast
Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)