This package is an automatic differentiation package which will evaluate derivatives with machine-precision almost instantaneously. The speed and precision of autodifferentiation is paramount to applications such as deep learning models, and mitigates inefficiencies that compound with larger and more complex functions.
Project description
Team 44
ID: team44
Team members: Leo Shao, Ibraheem Khan, Reem Ali, Yigit Sonmez, Chepchumba Choge
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file autodiff_team44-0.1.0.tar.gz.
File metadata
- Download URL: autodiff_team44-0.1.0.tar.gz
- Upload date:
- Size: 8.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c2acea3d2bfd079895c3ac724be4af4c16ac4057760407a00e3f50d0bc405411
|
|
| MD5 |
771ee200c40c5a031a60117d1f05ed08
|
|
| BLAKE2b-256 |
9af2c93de02b5beb592f686802ef33033d59858e2359fbcd12f99b3b3821632b
|
File details
Details for the file autodiff_team44-0.1.0-py3-none-any.whl.
File metadata
- Download URL: autodiff_team44-0.1.0-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0aa81a625cb8a5f9b512219d46b01b98f4ccd9f9c411cd8d6117f57201ce2dd
|
|
| MD5 |
4e6f51a218b5adaeaf1f618c1b799160
|
|
| BLAKE2b-256 |
801374d4895547c86e8278edc42dceb362b7621f67c6eff746118c87b7d8cec0
|
