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Releases: brainflow-dev/brainflow

BrainFlow 4.0.1

11 Mar 02:08
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Hotfix for 4.0.0, it removes Accord as a dependency from nuspec file

BrainFlow 4.0.0.

08 Mar 23:52
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Changes in this release:

  • refactor c++ binding to use brianflow array(#243). Breaking change
  • get rid of accord as a dependency(#232). API is almost the same as before, but new namespace needed. Breaking change
  • add csp implementation(#213)
  • add checks for memory layour in numpy(#248)

BrainFlow 3.9.2

08 Feb 02:23
fc424b5
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Fixing marker types

BrainFlow 3.9.1

01 Feb 00:14
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Hotfix for 3.9.0

Fixes marker issue for OYMotion

BrainFlow 3.9.0

28 Jan 16:23
980ab32
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Changes in this release:

  • fix all compilation warnings
  • update weights for concentration and relaxation models
  • add insert_marker method
  • refactor brianflow board and json file

BrainFlow 3.8.1

02 Jan 11:22
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Hotfix for OYMotion gForcePro

BrainFlow 3.8.0

26 Dec 22:50
cf2cceb
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Summary of Changes:

  • Add OYMotion gForcePro Armband
  • Refactor Julia binding
  • Publish Julia Package to the Registry
  • Add OpenMP support for some methods
  • Refactor enums in Python binding
  • Add get_device_name method
  • Add more Cpp checks to CI

More info about this release https://brainflow.org/2020-12-28-new-minor-version/

BrainFlow 3.7.2

29 Nov 21:33
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Changes in this release:

  • Move everything to Github Actions
  • Add Unicorn support for Windows
  • Add support for C# binding on Unix Systems

BrainFlow 3.7.1

13 Nov 16:08
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Changes in this release:

  • add FreeEEG32 for all OSes
  • move to new manylinux image, there is centos 6 and new GCC. Before we used CentOS 5 and GCC 4.8
  • Drop support of GCC < 5
  • Add support for custom baud rate to Serial class
  • Add Serial Number check for Callibri device

Using modern GCC we can also provide compiled C++ libraries for C++ users.
Before there was ABI mismatch between GCC 4.8 and 5.0+

BrainFlow 3.6.0

02 Nov 08:54
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Changes in this release:

  • Add LDA classifier for existing metrics
  • Add SVM classifier for existing metrics
  • Add logging API for DataHandler and MLModel