UQ360
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IBM
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
`UCCRecalibration.fit` runs on only one CPU core. Is there a way to parallelize the execution of this method?
Assert the inputs are the correct type. There is no way for the end-user to know the right input type only by reading the documentation; therefore, code should speak by...
Update `BNNRegression` to support iterating over dataloader during `fit` similar to `BNNClassification`. https://github.com/IBM/UQ360/blob/main/uq360/algorithms/variational_bayesian_neural_networks/bnn.py#L54 https://github.com/IBM/UQ360/blob/main/uq360/algorithms/variational_bayesian_neural_networks/bnn.py#L216
Add Temperature Scaling option to `ClassificationCalibration` algorithm Relevant Paper: http://proceedings.mlr.press/v70/guo17a.html
Allow installation of specific algorithms and migrate to workflows from travis for CI as in https://github.com/Trusted-AI/AIF360
Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 2.1.15 to 3.1.37. Release notes Sourced from gitpython's releases. 3.1.37 - a proper fix CVE-2023-41040 What's Changed Improve Python version and OS compatibility, fixing deprecations by @EliahKagan...
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We need to add shape checks to inputs. This is a much needed enhancement to avoid salient bugs in metrics computations.
Both, PyTorch and TensorFlow, are large packages and not required for all parts of UQ360. Even more so, if someone just intends to use the metrics provided by UQ360, the...
Hallo guys! I just wanted to try out your example as mentioned in header. However I get the error "Expected all tensors to be on the same device, but found...
