Perforated
Perforated Backpropagation by Perforated AI
A parameter-efficient neural network training algorithm that adds dendritic computation layers to standard neurons, enabling models to achieve greater capability density.
Status
This package is a placeholder. Full SDK coming soon.
Links
1 maintainer
Metadata
1 maintainer
Release files for perforated 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| perforated-0.1.0.tar.gz | 1.2 kB | Without provenance | Details for perforated-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| perforated-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for perforated-0.1.0-py3-none-any.whl |
Total release size: 2.8 kB
Release files / perforated-0.1.0.tar.gz
| Download URL | perforated-0.1.0.tar.gz |
|---|---|
| Size | 1.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / perforated-0.1.0-py3-none-any.whl
| Download URL | perforated-0.1.0-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9b73e10b484a4aedaf58db4aa05c3f1a4c3d275bb21f7510ee82a0c17b132751
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for perforated 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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