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Releases: lava-nc/lava-dnf

Lava DNF 0.3.0

08 Aug 05:50
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Full Changelog: v0.2.0...v0.3.0

Lava DNF 0.2.0

15 Nov 06:02
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Lava DNF v0.2.0 Release Notes

November 9, 2023

What's Changed

New Features and Improvements

  • Use Sparse process in the connect function by default and allow to specify a different connectivity.
  • Added motion tracking demo running on Loihi 2 with live visualization using bokeh for local and cloud based execution.

Bug Fixes and Other Changes

  • No bug-fixes or other changes in this release.

Breaking Changes

  • No breaking changes in this release.

Known Issues

  • No known issues in this release.

Full Changelog: v0.1.4...v0.2.0

Lava 0.1.4

25 Jul 08:19
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Full Changelog: v0.1.3...v0.1.4

Lava Dynamic Neural Fields 0.1.3

22 Apr 08:15
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What's Changed

New Contributors

Full Changelog: v0.1.2...v0.1.3

Lava Dynamic Neural Fields 0.1.2

04 Nov 10:06
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Lava DNF v0.1.2 Release Notes

November 4, 2022

New Features and Improvements

  • No new features or improvements in this release.

Bug Fixes and Other Changes

  • Updated dependency on lava-nc from main to version 0.5.1 (PR #37)

Breaking Changes

  • No breaking changes in this release.

Known Issues

  • No known issues in this release.

Thanks to our Contributors

  • Intel Labs Lava developers

Full Changelog: v0.1.1...v0.1.2

Lava Dynamic Neural Fields 0.1.1

31 Oct 11:29
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Lava DNF v0.1.1 Release Notes

October 31, 2022

New Features and Improvements

  • Support for running lava-dnf on Loihi 2 (PR #31)
  • Tutorials that demonstrate how to run lava-dnf on Loihi 2 (PR #31)
  • Support for generating connectivity for relational networks (PR #23)
  • Tutorial that demonstrates a relational network of 1D DNFs (PR #23)

Bug Fixes and Other Changes

  • Fixed singleton axes in gauss() function (Issue #11)
  • Fixed deprecation warnings (PR #22)
  • Switched installation to poetry, added unit tests for tutorials (PR #26)

Breaking Changes

  • No breaking changes in this release.

Known Issues

  • No known issues in this release.

Thanks to our Contributors

  • Intel Labs Lava developers

Full Changelog: v0.1.0...v0.1.1

Lava Dynamic Neural Fields 0.1.0

29 Nov 18:07
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This is the first release of the Lava Dynamic Neural Field (DNF) library. DNFs are neural attractor networks whose stabilized activity patterns can provide a basis for neural representations, decision making, working memory, and learning. The lava-dnf library enables users to build large-scale DNF architectures by providing generators for typical connectivity patterns.

Features and Improvements

  • lava.lib.dnf.connect provides a connect() function that takes as input the OutPort and InPort of neural Processes, generates a connections Process based on high-level parameters, and connects the Processes
  • lava.lib.dnf.operations and lava.lib.dnf.kernels provide infrastructure to high-level parameterization

Bug Fixes and Other Changes

  • This is the first release of lava-dnf. No bug fixes or other changes.

Breaking Changes

  • This is the first release of lava-dnf. No breaking or other changes.

Known Issues

  • Operations ‘ReduceDims’, ‘ExpandDims’, and ‘Reorder’ only support up to three dimensions.

What's Changed

New Contributors

Full Changelog: https://github.com/lava-nc/lava-dnf/commits/v0.1.0