maxmekiska/imbrium
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
This tool helps data analysts and scientists predict future trends using historical data. You provide your time-series data, and it generates multi-step forecasts for single or multiple variables. It's designed for data professionals who need to build and customize deep learning models for forecasting without writing complex code from scratch.
No commits in the last 6 months. Available on PyPI.
Use this if you need to forecast future values of one or more time-dependent variables and want to leverage deep learning models with significant control over their configuration.
Not ideal if you're looking for simple statistical forecasting methods or don't have a background in data science and deep learning concepts.
Stars
61
Forks
3
Language
Python
License
MIT
Category
Last pushed
May 27, 2024
Commits (30d)
0
Dependencies
2
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