Michigan Artificial Intelligance Standard Environment
Project description
Machine learning and artificial intelligance benchmarking library for nuclear engineering applications.
Project details
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
pyMAISE-0.0.1.tar.gz
(341.3 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
pyMAISE-0.0.1-py3-none-any.whl
(352.2 kB
view details)
File details
Details for the file pyMAISE-0.0.1.tar.gz.
File metadata
- Download URL: pyMAISE-0.0.1.tar.gz
- Upload date:
- Size: 341.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
24724bd38cb5f824c256cd193ed1240a83d1647e4b8f46cad60b3052894f58b7
|
|
| MD5 |
fc80494e466a313c221a83df752ce11d
|
|
| BLAKE2b-256 |
1dc706a46b48d791b17c8ec04675e1d1a300b3677fc2d0b867d61fd0194a6659
|
File details
Details for the file pyMAISE-0.0.1-py3-none-any.whl.
File metadata
- Download URL: pyMAISE-0.0.1-py3-none-any.whl
- Upload date:
- Size: 352.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
750327adfd33cd780ef3819b196e7b1e83e3bdf3d76ff9a2c388135a2227d2e5
|
|
| MD5 |
2ba7df389b6f5ae1c5de834045bcc462
|
|
| BLAKE2b-256 |
f6551f364e8904a14777fba20469237d075e316f39273555463a3f10d3ff0375
|