AKN-F2F

AKN-F2F's Stars

• oobabooga/text-generation-webui

  A Gradio web UI for Large Language Models with support for multiple inference backends.

  Language:Python41.3k5.4k

• avilarenan/xlstmceemdan

  XLSTM-CEEMDAN model

  Language:Jupyter Notebook264

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook519369

• robjhyndman/forecast

  Forecasting Functions for Time Series and Linear Models

  Language:R1.1k341

• kdgutier/esrnn_torch

  Language:Python15845

• cyberosa/SARIMA_model_Python

  How to find the best SARIMA parameters for a model, save the model in a file and generate an interactive graph to play with the predictions

  Language:HTML5

• enzoampil/fastquant

  fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

  Language:Jupyter Notebook1.5k240

• ServiceNow/N-BEATS

  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

  Language:Python525116

• AKN-F2F/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  1

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R750317

• uber/orbit

  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

  Language:Python1.9k134

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.7k4.6k

• advaitsave/Introduction-to-Time-Series-forecasting-Python

  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

  Language:Jupyter Notebook319138

• ayan1c2/StatisticalModels_TSeries

  ARIMA, SARIMA, KALMAN Filter

  Language:Jupyter Notebook2

• statsmodels/statsmodels

  Statsmodels: statistical modeling and econometrics in Python

  Language:Python10.3k3.2k

• msdhina/Forecasting_Univariate_Daily_Temperature

  Univariate Forecast Modelling using ARIMA & LSTM

  Language:Jupyter Notebook4

• michael-sapriio/Time-Series

  Univariate Time Series Forecasting using ARIMA in Python

  Language:Jupyter Notebook1

• akononovicius/arfima

  Python implementation of ARFIMA process with an aim to simulate series.

  Language:Python214

• JuliaDynamics/ARFIMA.jl

  Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

  Language:Julia522

• sprasadhpy/Time-Series-Models-using-python

  Univariate_ARIMA_models, ARCH/GARCH Volatility Forecasting models, VAR model for macro fundamentals forecasts

  Language:Jupyter Notebook115

• tourloukisg/Python-LSTM-Univariate-Time-Series-Forecasting-

  Demonstration of Univariate Time Series Forecasting (Long Short-Term Memory (LSTM) Network ) -- Preprocessing (Missing Values/Data Cleaning) -- Keras Time Series Generator

  Language:Jupyter Notebook71

• dhamvi01/Univariate-Time-Series-using-LSTM

  Language:Jupyter Notebook815

• nachi-hebbar/ARIMA-Temperature_Forecasting

  Temperature forecasting using ARIMA model in Python. Pmdarima and statsmodel library are used

  Language:Jupyter Notebook4564

• lxu213/arima-forecasting

  Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot

  Language:Jupyter Notebook3117