Releases: AmbiqAI/heartkit
Releases · AmbiqAI/heartkit
v1.8.0
v1.7.0
Version 1.6.0
What's Changed
- feat: Migrate to uv.
- feat: Bump numpy to 2.0
- feat: Update workflow triggers.
Full Changelog: v1.5.1...v1.6.0
Version 1.5.1
What's Changed
- feat: Migrate to uv.
- feat: Bump numpy to 2.0
- feat: Update workflow triggers.
Full Changelog: v1.3.0...v1.5.1
Version 1.3.0
Release Highlights:
- Converted datasets now being pulled from S3
- Removed task specific logic from dataset classes.
- Update task structure to separate methods (e.g. train.py)
- Add helper functions to create dataset pipelines.
- Add initial foundational model to perform contrastive learning across ECG leads.
Version 1.1.0
Release Highlights:
- Add augmentation pipelines.
- Add Physiokit routines for HRV metrics and R peak detection.
- Reduce model sizes by over 50% while preserving accuracy.
- Add new QTDB dataset.
- Reduced sampling frequency from 250Hz to 200Hz.
- Update preprocessing to apply biquad filter forward backward to maintain zero phase.
- Add quantization-aware training (fine-tuning) for segmentation model.
- Add MobileOne (1D variant) model architecture.
- Add additional structs to reduce shared globals in EVB code.
- Update to TF 2.13.
- Update to Python 3.11.
- Various bug fixes and performance improvements.