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Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
A new PyTorch release is out. Action needed: - run CPU tests - run GPU tests - fix bugs - expand tests - release as minor version
This solves #1411 by implementing a sketched version of percentile / median and a corresponding option for the RobustScaler in the preprocessing module. All new features integrate into the current...
The current very elaborate implementation of our random generator and random arrays suffers from two drawbacks: * the maximum number of entries is quite low (~maxint32 / maxint64 for the...
Allow for inexact, but hopefully much faster percentile computation by using a sketch of the data set Related: #1389 on speeding up the existing implementation for exact computation of percentiles
**Feature functionality** Implement the ASSET analysis method. It is a statistical method for the detection of repeating sequences of synchronous events in peak sequences. **Additional context** Find the reference implementation...
**Related** When specifying an axis for the `unique` function, the array is searched for unique vectors along this axis. However a sorted result is difficult to compute when `split !=...
## Due Diligence - General: - [x] **title** of the PR is suitable to appear in the [Release Notes](https://github.com/helmholtz-analytics/heat/releases/latest) - Implementation: - [x] unit tests: all split configurations tested -...