Skip to main content

maznet

A lightweight deep learning library made for learning purposes using Python. The code is easy to understand but suggestions are welcome and feel free to contact for queries. We extensively use type hints for better code comprehension instead of filling our code with docstrings and comments.

Requirements

  • numpy

Setup

You can either download the package from pip install maznet==1.0.0 or download this repository and use accordingly.

Usage

See xor.py and fizzbuzz.py for usage examples

Future work

Broaden the library functionality by adding more optimizers, losses, layers and such.

Contribution

To get assigned to any issue leave a comment or if you feel you have any ideas feel free to create an issue. Before making a pull request make sure to check code using mypy for type hints and black for linting.

Acknowledgments

Initial work has been inspired by joelnet.

Release files for maznet 1.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for maznet 1.0.1
File Size Uploaded
maznet-1.0.1.tar.gz 5.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for maznet 1.0.1
File Interpreter ABI Platform
maznet-1.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 11.8 kB

Release files / maznet-1.0.1.tar.gz

Download URL maznet-1.0.1.tar.gz
Size 5.2 kB
Tags Source
SHA-256 checksum
How to use checksums
73168f8798d7cddaf76ce1d04617d6a5c31de7a4b5e980941357824f9b203aa0
BLAKE2b-256 checksum
How to use checksums
233c2a15d6d1e0930cb00a03bc609c12785946f295e319a3586150e104fe43eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5

Release files / maznet-1.0.1-py3-none-any.whl

Download URL maznet-1.0.1-py3-none-any.whl
Size 6.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f815369c4553a488c30cc3c3c6ff05068a90fb84e78aa68c3bccff353af759aa
BLAKE2b-256 checksum
How to use checksums
f09a0c75a0aabeb96efdf487211983850b3e4b55ac1ee132afb57e4cc09b3509
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page