A lightweight Python toolkit for building, exploring, and prototyping AI-driven solutions.
Project description
Thinkr
AI theory as Python functions.
Usage
from thinkr import hill_climbing
print(hill_climbing())
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
thinkr-0.1.4.tar.gz
(28.6 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
thinkr-0.1.4-py3-none-any.whl
(35.6 kB
view details)
File details
Details for the file thinkr-0.1.4.tar.gz.
File metadata
- Download URL: thinkr-0.1.4.tar.gz
- Upload date:
- Size: 28.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b41f28af03cb55330b57f2e722bf25983a345b49272b2a83504fa3d1193f1344
|
|
| MD5 |
92965a5bf37eaf8d343a5040ca053045
|
|
| BLAKE2b-256 |
e9e82974e6e2e096376438bc454ef160f4354e1dfc97b5c5bbd1c876995fc854
|
File details
Details for the file thinkr-0.1.4-py3-none-any.whl.
File metadata
- Download URL: thinkr-0.1.4-py3-none-any.whl
- Upload date:
- Size: 35.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8a62a4a52bd76806c2068906e6f5785b4d5f645afd1e23b93642b9bff863962
|
|
| MD5 |
edf160204ebfa3c5e1c301854f6e5439
|
|
| BLAKE2b-256 |
cc766567b8e432eff2c819e020878dbb5d2aa3a49154119683c91f513a4e5d85
|