Implement detection of rotor ciphers #4
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
MaikBastian
force-pushed
the
rotor-ciphers-implementation
branch
from
2ada9b7
to
c76ba25
Compare
In addition to the detection of ACA ciphers, this commit provides the facilities to train, evaluate and predict 5 rotor ciphers. These ciphers are: Enigma, M209, Purple, Sigaba and Typex. This commit includes the following improvements as well: - Fix plaintext dataset download - Rework input pipeline - Set the start method of the `multiprocessing` library - Improve code structure
MaikBastian
force-pushed
the
rotor-ciphers-implementation
branch
from
c76ba25
to
eb091bf
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
In addition to the detection of ACA ciphers, this commit provides the facilities to train, evaluate and predict 5 rotor ciphers. These ciphers are: Enigma, M209, Purple, Sigaba and Typex.
This commit includes the following improvements as well:
multiprocessinglibraryThe
README.mdis not yet updated to reflect these changes. I would provide an update in a following PR, detailing the newest changes, as well as giving explanations towards the new training process.