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GitHub topics: noise-tolerance

lab-v2/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

Language: Python - Size: 16.2 GB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

michaelklachko/NoisyNet

Code for "Improving Noise Tolerance of Mixed-Signal Neural Networks" https://arxiv.org/abs/1904.01705

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 2

Bassem-Makni/NMT4RDFS

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4

Language: Python - Size: 9.33 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 9 - Forks: 4

Related Keywords
noise-tolerance 3 deep-learning 2 artificial-intelligence 1 fault-injection 1 fault-tolerance 1 hardware 1 mixed-signal 1 neural-networks 1 noise 1 noise-generator 1 noise-reduction 1 thermal-noise 1 deep-neural-networks 1 graph-words 1 nmt 1 nmt-model 1 rdf 1 rdfs 1 reasoning 1 semantic-web 1 sparql 1 computer-vision 1 data-science 1 dino-v2 1 error-detection-correction 1 hierarchical-classification 1 logic 1 logic-programming 1 machine-learning 1 meta 1 metacognition 1 military-vehicles 1 multi-label-classification 1 neuro-symbolic-ai 1 neuro-symbolic-learning 1 rule-learning 1 submodular-optimization 1 vision-transformer 1 analog-circuit 1