Skip to content

v0.6.0
Compare
Choose a tag to compare
@TjarkMiener TjarkMiener released this 31 Mar 15:47
· 501 commits to master since this release
v0.6.0
6198b60
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

CTLearn Release v0.6.0

Major upgrade to TensorFlow v2.8 #137
Sphinx docs #139

Major Features

  • Upgrade the models to the Keras API in order to run with TF v2.8
  • Enable usage of multiple GPUs via tf.distribute.MirroredStrategy
  • Make CTLearn user-friendly by allowing several analysis options (like reconstruction tasks, directories, telescope types/ids, quality cuts) to be set from command line. Therefore minimum information about the model has to be included in the config file. Default CTLearn models can be constructed from the command line via default config files shipped by the installation.
  • Balance the data for the classification task by default
  • Add Sphinx docs and additional code meta data @nietootein

Minor Improvements

  • ResNets can be constructed with the SingleCNN model.
  • Store Only the best model checkpoints
  • Model architecture & matrices can be plotted automatically
  • Upgrade to dl1dh v0.10.5, ctapipe v0.12.0 & python 3.8

Bug Fixes and Other Changes

Known Issues

  • Particle classification is not working with Multitask Learning models yet.
  • There is some version incompatibility (numpy and numba) when trying to run on Wilkes-3.

Contributors

nietootein
Assets 2
Loading