SlakoNet: A Machine Learning Parameter Set

A SlakoNet parameter set for machine learning applications, shared by author Kamal Choudhary. The dataset is a 368.0 MB ZIP file available under a CC-BY-4.0 license. It was last updated on 2026-05-20.

Use Cases

• Configure machine learning models based on the provided SlakoNet parameters.
• Benchmark model performance using a standardized parameter set.
• Reproduce research results that depend on the SlakoNet configuration.

Strengths

• The dataset has a substantial file size of 368.0 MB, suggesting a detailed parameter set.
• It is associated with a public GitHub repository (atomgptlab/slakonet) for context and potential updates.
• It uses a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific tasks.
• The description metadata is limited to a title and link; actual data structure requires manual inspection.

Provenance

Source

figshare

Freshness

Last updated 2026-05-20 18:07:32; freshness should be verified.