The missing scipy toolkit for Apple Silicon — GPU-accelerated special functions, linear algebra, signal processing, and quantum information via MLX
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mlx_sci-0.1.0.tar.gz
(4.1 kB
view details)
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 mlx_sci-0.1.0.tar.gz.
File metadata
- Download URL: mlx_sci-0.1.0.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca7c9e81a3319dccd7bdc550c0585b069af6ad8d6bb892608a7715e746c4257b
|
|
| MD5 |
202164442a51f9b16a61b643ac6beba9
|
|
| BLAKE2b-256 |
a6fbc945bc1f73accd048be36587627f468e948afcd53c329bafada4c1400670
|
File details
Details for the file mlx_sci-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mlx_sci-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50c43f72eeb720cda234c047b1ddd889267137c38186d479c0952925c143cbf3
|
|
| MD5 |
3b5797e4291c1f9e30a82dd39b02e876
|
|
| BLAKE2b-256 |
a7de7ec07aab4b06d1963beaa5e365fcb2b43d1a9e39b53afef1958080b23b28
|
