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GitHub / ai2es / miles-guess
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ai2es%2Fmiles-guess
Stars: 15
Forks: 3
Open Issues: 2
License: cc0-1.0
Language: Jupyter Notebook
Repo Size: 17.5 MB
Dependencies:
33
Created: 9 months ago
Updated: 28 days ago
Last pushed: 29 days ago
Last synced: 28 days ago
Commit Stats
Commits: 36
Authors: 3
Mean commits per author: 12.0
Development Distribution Score: 0.361
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ai2es/miles-guess
Topics: ai, bayesian, epistemic-uncertainty, evidential-deep-learning, machine-learning, neural-networks, uncertainty-quantification
Files
Dependencies
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- bridgescaler *
- echo-opt *
- hagelslag *
- imbalanced-learn *
- jupyter *
- matplotlib *
- netcdf4 *
- numba *
- numpy <1.24
- pandas *
- properscoring *
- pyarrow *
- pyyaml *
- scikit-learn *
- scipy *
- sphinx *
- tensorflow *
- tensorflow_addons *
- tqdm *
- xarray *
- actions/checkout v4 composite
- actions/download-artifact v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
- sigstore/gh-action-sigstore-python v1.2.3 composite
- bridgescaler *
- echo-opt *
- hagelslag *
- keras *
- tensorflow *