https://github.com/bbva/umal
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
https://github.com/bbva/umal
aleatoric-uncertainty deep-learning neurips-2019 umal uncertainty uncertainty-estimation
Last synced: 4 months ago
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Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
- Host: GitHub
- URL: https://github.com/bbva/umal
- Owner: BBVA
- Created: 2019-10-17T16:07:40.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-27T16:31:29.000Z (almost 6 years ago)
- Last Synced: 2023-09-16T03:58:12.478Z (about 2 years ago)
- Topics: aleatoric-uncertainty, deep-learning, neurips-2019, umal, uncertainty, uncertainty-estimation
- Language: Jupyter Notebook
- Homepage:
- Size: 935 KB
- Stars: 13
- Watchers: 7
- Forks: 5
- Open Issues: 0