ipme
deep-kernel-transfer
ipme | deep-kernel-transfer | |
---|---|---|
1 | 1 | |
24 | 190 | |
- | 1.6% | |
0.0 | 10.0 | |
over 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | - |
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ipme
deep-kernel-transfer
-
What approach to take predicting a simple data stream?
Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer
What are some alternatives?
EOmaps - A library to create interactive maps of geographical datasets
FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
fortuna - A Library for Uncertainty Quantification.
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
rcps - Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
MLBox - MLBox is a powerful Automated Machine Learning python library.
heinsen_tree - Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.
Genome - Genome Network Ala Neural Network