CyberPlain is a defensive cybersecurity toolkit for Python and the command line. It uses normal English in its names, output, errors, and documentation so beginners can understand what a check did and experienced practitioners can automate it.
Learn neural networks
For a tiny, dependency-free neural network, describe the layer sizes, give it examples, and ask it a question:
from cyberplain import learn_xor
brain = learn_xor()
print(brain.predict([1, 0])) # close to 1: true
print(brain.predict([1, 1])) # close to 0: false
Use NeuralNetwork(2, 3, 1) to build your own network from scratch. fit() returns the error history, while weights and biases stay visible so learners can see what practice changes.
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Release files for cyberplain 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cyberplain-0.3.0.tar.gz | 28.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cyberplain-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.7 kB
Release files / cyberplain-0.3.0.tar.gz
| Download URL | cyberplain-0.3.0.tar.gz |
|---|---|
| Size | 28.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.1
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Release files / cyberplain-0.3.0-py3-none-any.whl
| Download URL | cyberplain-0.3.0-py3-none-any.whl |
|---|---|
| Size | 30.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
5fab1e3b7d111ef37ffc1c41b5a11c18a2de55ea8ada39f417cc3ac7a9ccc7f1
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.1
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