What's Changed * Added UCIHAR dataset by dheyay in https://github.com/mikeheddes/hdc-lib/pull/12 * Add HD Hashing example by mikeheddes in https://github.com/mikeheddes/hdc-lib/pull/13 * Remove the metrics module in favor of Torchmetrics by mikeheddes in https://github.com/mikeheddes/hdc-lib/pull/18 * Add Projection embedding by mikeheddes in https://github.com/mikeheddes/hdc-lib/pull/20 * Add EMG-based hand recognition dataset and example by pereverges in https://github.com/mikeheddes/hdc-lib/pull/19 * Simplify projection implementation and add example by mikeheddes in https://github.com/mikeheddes/hdc-lib/pull/21 * Pamap by pereverges in https://github.com/mikeheddes/hdc-lib/pull/22 * Batched n-gram implementation and formatting fixes by mikeheddes in https://github.com/mikeheddes/hdc-lib/pull/23 * Added regression dataset - Nasa airfoil self noise by dheyay in https://github.com/mikeheddes/hdc-lib/pull/24
New Contributors * pereverges made their first contribution in https://github.com/mikeheddes/hdc-lib/pull/19
- Added datasets to documentation and repository - Added additional tests for HD functions - Added examples of using the hdc library with multiple datasets
0.3
- Added new similarity functions in hdc.functional - Added hdc embedding for Identity, Random, Level, Circular hypervectors - Updated documentation for library
0.2
-- Release notes
Added ID hypervector function to functional.py Cleaned function code for Random and Circular hypervectors Changed library name from hdcLib to hdc on PyPi for accessibility
0.1
First release for a Hyperdimensional computing library. Contains functions for various kinds of HD encoding and also functions for basic operations related to HD computing such as binding, bundling and permutating.