An easy to use framework that makes model predictions more interpretable for humans. Gcam allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
Metadata
Release files for gcam 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gcam-0.1.tar.gz | 16.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gcam-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.4 kB
Release files / gcam-0.1.tar.gz
| Download URL | gcam-0.1.tar.gz |
|---|---|
| Size | 16.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
922c6bfa9856313293dab847f79ea644ed2780cf192774e5bf307cffbd7e04d0
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BLAKE2b-256 checksum How to use checksums |
2187801386f271d05ec7ff9a6d52b80fe7774ba747e3151e339684b2fa981157
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10
|
Release files / gcam-0.1-py3-none-any.whl
| Download URL | gcam-0.1-py3-none-any.whl |
|---|---|
| Size | 23.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
baf11251caac118d0750bfbcf47602a56e463f5d9c856ac2adcf9ca9273438b6
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BLAKE2b-256 checksum How to use checksums |
39930a4f5046fbb0ff6ac47341f42dfbfc16255aa246aaf954d47806eaaf3885
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10
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