pypi.org : mirzai
Prediction of Exchangeable Potassium in Soil through Mid-Infrared Spectroscopy and Deep Learning: from Prediction to Explainability, Albinet et al., 2022
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purl: pkg:pypi/mirzai
Keywords:
high-throughput
, soil
, characterization
, remediation
, deep-learning
, interpretability
, nuclear-remediation
, potassium
, soil-spectroscopy
License: Apache-2.0
Latest release: almost 3 years ago
First release: about 3 years ago
Downloads: 95 last month
Stars: 3 on GitHub
Forks: 0 on GitHub
Total Commits: 27
Committers: 1
Average commits per author: 27.0
Development Distribution Score (DDS): 0.0
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Last synced: 7 days ago