https://github.com/alrobbertz/probabilistic-meta-learning
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
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○Scientific vocabulary similarity
Low similarity (2.5%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: Alrobbertz
- Language: Python
- Default Branch: main
- Size: 7.69 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 4 years ago
· Last pushed over 3 years ago
https://github.com/Alrobbertz/Probabilistic-Meta-Learning/blob/main/
# Probabilistic-Meta-Learning ## Data * [Numenta Anomaly Benchmark](https://github.com/numenta/NAB) * [Skoltech Anomaly Benchmark](https://github.com/waico/SKAB) ## Code Code follows paper [Meta-Learning Probabilistic Inference For Prediction](https://arxiv.org/abs/1805.09921) and uses implmentation from GitHub [Versa](https://github.com/Gordonjo/versa). ## To Run Samples fom Bash to execute the run_classifier.py file. ### Omniglot ` python run_classifier.py -d Omniglot --iterations 200 ` ### NAB ` python run_classifier.py -d NAB --d_theta 128 --shot 5 --way 2 --test_way 2 --iterations 10000 ` ### SKAB ` python run_classifier.py -d SKAB --d_theta 128 --shot 5 --way 2 --test_way 2 --iterations 10000 `
Owner
- Name: Andrew Robbertz
- Login: Alrobbertz
- Kind: user
- Repositories: 2
- Profile: https://github.com/Alrobbertz
An enthusiastic student of Data Science, Artificial Intelligence, and Machine Learning