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#+title: Nasy JAX/Equinox Deep Learning Toolkit
#+date: <2023-11-29 Wed>
#+author: Nasy
#+email: nasyxx@gmail.com
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* Introduction
Nasy's JAX and Equinox deep learning toolkit.
1 maintainer
Metadata
1 maintainer
Release files for nadl 1.12.7
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 |
|---|---|---|---|---|
| nadl-1.12.7.tar.gz | 20.3 kB | Without provenance | Details for nadl-1.12.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nadl-1.12.7-py3-none-any.whl | Python 3 | none | any | Details for nadl-1.12.7-py3-none-any.whl |
Total release size: 50.5 kB
Release files / nadl-1.12.7.tar.gz
| Download URL | nadl-1.12.7.tar.gz |
|---|---|
| Size | 20.3 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 |
pdm/2.19.1 CPython/3.12.6 Darwin/24.1.0
|
Release files / nadl-1.12.7-py3-none-any.whl
| Download URL | nadl-1.12.7-py3-none-any.whl |
|---|---|
| Size | 30.2 kB |
| Tags | Python 3 |
|
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 |
pdm/2.19.1 CPython/3.12.6 Darwin/24.1.0
|
Security for nadl 1.12.7
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