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 make_brain
brain = make_brain()
brain.train(
[[0, 0], [0, 1], [1, 0], [1, 1]],
[0, 1, 1, 0],
epochs=2_000,
)
print(brain.predict([1, 0])) # close to 1
print(brain.predict([1, 1])) # close to 0
make_brain() creates a small network with sensible defaults. Use NeuralNetwork(2, 3, 1) when you want to choose every layer yourself. train() returns the error history, while weights and biases stay visible so learners can see what practice changes.
1 maintainer
Metadata
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Release files for cyberplain 0.3.1
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-0.3.1.tar.gz | 28.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cyberplain-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.2 kB
Release files / cyberplain-0.3.1.tar.gz
| Download URL | cyberplain-0.3.1.tar.gz |
|---|---|
| Size | 28.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.1
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Release files / cyberplain-0.3.1-py3-none-any.whl
| Download URL | cyberplain-0.3.1-py3-none-any.whl |
|---|---|
| Size | 30.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
040a6e13b5c1b08b0bd0dc8e61e9e2ff794ab84f41f1f6536d8d8a1c8a102390
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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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