An efficient Machine Learning Library
Project description
PyPearl is currently in development. PyPearl can most basic neural network use cases, and is somewhat well optimized for small models. In extremely small cases it out performs PyTorch due to it's nature as a thinner wrapper (exactly 2 lines of Python and 7300+ lines of CPP) compared to PyTorch's 60% Python. Here's the source code: https://github.com/Brody234/pypearl This description was last edited October 7 2025.
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 pypearl-0.6.14.tar.gz.
File metadata
- Download URL: pypearl-0.6.14.tar.gz
- Upload date:
- Size: 53.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd3406dbead596feeaad023c421d68c80d61689b23d59c2dba347351675ce646
|
|
| MD5 |
ee1b0f4bc9eb0d9d38b389aa4eee13de
|
|
| BLAKE2b-256 |
bba6596279453c9e637c6b19fe7c6af97473aa9d1fe37178269115dc0038feef
|
File details
Details for the file pypearl-0.6.14-cp313-cp313-macosx_14_0_arm64.whl.
File metadata
- Download URL: pypearl-0.6.14-cp313-cp313-macosx_14_0_arm64.whl
- Upload date:
- Size: 65.9 kB
- Tags: CPython 3.13, macOS 14.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0b5235bf635f9d603f4f69c020d8138900fca66756ae3cca0c96d0e73d9d145
|
|
| MD5 |
faf7df547e6b1796cb16b6a5ffbae794
|
|
| BLAKE2b-256 |
75db4c5cfc85d338e6c37961388285a1d82a97dcc7f41a388b8235fecf7796ba
|
