pypi.org : pyedcr
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
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purl: pkg:pypi/pyedcr
Keywords:
artificial intelligence
, data analysis
, data mining
, data science
, error correction
, error detection
, machine learning
, metacognition
, neurosymbolic AI
, rule learning
, artificial-intelligence
, computer-vision
, data-science
, deep-learning
, dino-v2
, error-detection-correction
, hierarchical-classification
, logic
, logic-programming
, machine-learning
, meta
, military-vehicles
, multi-label-classification
, neuro-symbolic-ai
, neuro-symbolic-learning
, noise-tolerance
, rule-learning
, submodular-optimization
, vision-transformer
License: MIT
Latest release: 7 months ago
First release: over 1 year ago
Downloads: 48 last month
Stars: 4 on GitHub
Forks: 1 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 10 days ago