bayesian-deep-learning
Bayesian neural networks, uncertainty in deep learning, and probabilistic DL
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- Repository
- NeuralBlitz/Mito
- Last source activity
- March 22, 2026 at 13:29
- Detected SKILL.md language
- English
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Source instructions · Read-only preview- name
- bayesian-deep-learning
- description
- Bayesian neural networks, uncertainty in deep learning, and probabilistic DL
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"researchers","category":"machine-learning"}
## What I do
- Build Bayesian neural networks
- Quantify uncertainty in DL
- Apply variational inference
- Use Monte Carlo dropout
## When to use me
When working on uncertainty quantification in deep learning.
## Key Concepts
- Bayesian NNs
- Variational inference
- Dropout as Bayesian
- Weight uncertainty
- Epistemic uncertainty
- Aleatoric uncertainty
- Model calibration
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