Sensa
Sensa (from the Latin sēnsus, meaning “perception”): A PyTorch Lightning based library providing Masked Autoencoder (MAE) pretraining and classification training using customizable Vision Transformer (ViT) backbones.
Features
- Masked Autoencoder Pretraining with random token masking and reconstruction.
- Classification Training with flexible pooling strategies (avg, full, half, token).
License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for sensa 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sensa-0.1.1.tar.gz | 52.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sensa-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 122.0 kB
Release files / sensa-0.1.1.tar.gz
| Download URL | sensa-0.1.1.tar.gz |
|---|---|
| Size | 52.9 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Hatch/1.16.5 cpython/3.12.13 HTTPX/0.28.1
|
Release files / sensa-0.1.1-py3-none-any.whl
| Download URL | sensa-0.1.1-py3-none-any.whl |
|---|---|
| Size | 69.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
966c58046d07acef779d512d27c3f0071b6057790c317c05143a92ff8237d181
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Hatch/1.16.5 cpython/3.12.13 HTTPX/0.28.1
|
Security for sensa 0.1.1
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No provenance found
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