Deep_XF VS Auto_TS

What are some alternatives?

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

wb_gdp_predict - Predicting next year's GDP using ML (Python)

ChatLog - ⏳ ChatLog: Recording and Analysing ChatGPT Across Time

lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

BrewPOTS - The tutorials for PyPOTS.

logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python