Refreshingly Lightweight Machine Learning (using only numpy). models include conditional-character-RNN, Transformer and a Direct Feedback Alignment NN and other one-shot models like extreme learning machines or matrix factorisation retrieval-based classifiers (for a model-free alternative)
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Release files for windML 0.3.8
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 |
|---|---|---|---|---|
| windML-0.3.8.tar.gz | 14.1 kB | Without provenance | Details for windML-0.3.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| windML-0.3.8-py3-none-any.whl | Python 3 | none | any | Details for windML-0.3.8-py3-none-any.whl |
Total release size: 37.3 kB
Release files / windML-0.3.8.tar.gz
| Download URL | windML-0.3.8.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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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/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|
Release files / windML-0.3.8-py3-none-any.whl
| Download URL | windML-0.3.8-py3-none-any.whl |
|---|---|
| Size | 23.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f7ff72659a72bf194c7f269201ae2b11aff51770739c4aeb5dda201c7ab48aad
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BLAKE2b-256 checksum How to use checksums |
13759580ffd7012db11b868091a878a885a337ec414e5065e8b5e3dc13d06177
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
|
Security for windML 0.3.8
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