Lightning ⚡️ fast forecasting with statistical and econometric models.

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

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Hierarchical Time Series Forecasting with a familiar API

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

A learning tool to demonstrate the process of financial forecasting, budgeting, and analysis.

Theta methods for time series forcasting

Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.

Keras, Tensorflow eager execution layers for exponential smoothing

Model trials to filter orbital data

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

DSCI 524 Group 20: Python package that analyzes stocks!

Real-time imputation of missing environmental sensor data for fault-tolerant edge computing.

A Python-based module for solving supply chain optimization problems and generating time-series forecasts. This project implements the Transportation Problem using Linear Programming (PuLP) and applies Exponential Smoothing for forecasting time-series data.

SKU-level customer demand forecasts for SSDs for improved long-term supply planning

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

Data smoothing visualization

A new regularization technique by encountering samples through exponential smoothing

📈 Create a simple product sales forecast system in Python with Tkinter, featuring custom calculations and different chart visualizations for data insights.

Developed a data analysis script to perform demand forecasting, improving supply chain efficiency by utilizing the ARIMA and the Exponential Smoothing models.