danijar/elements
Building blocks for productive research
This project provides essential tools for anyone running research experiments or models, especially in fields like machine learning. It helps you track key metrics and configuration settings, manage files, and save progress efficiently. You can input raw data, model outputs, and configuration details, and it will output structured logs, metrics for visualization, and saved model states. This is ideal for researchers, data scientists, or anyone developing and iterating on complex computational models.
Available on PyPI.
Use this if you need a robust and flexible way to log metrics, manage experiment configurations, handle files across different storage systems, and checkpoint your research models without slowing down your computations.
Not ideal if you are looking for a simple, out-of-the-box solution for basic data logging or if your primary need is a GUI-based experiment management system.
Stars
69
Forks
13
Language
Python
License
MIT
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
Dependencies
5
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