ai4science (core)
ai4science is a small, stable framework for AI-for-Science components with a Transformers-like user experience:
- unified
from_pretrained()/save_pretrained() - plugin-based domains
- predictable I/O container (
Batch) and composition viapipeline()
Install core:
pip install ai4science
Install domain plugins:
pip install ai4science[biology]
# or
pip install ai4science-biology
Minimal example
from ai4science import AutoTool
tool = AutoTool.from_pretrained("ai4science-biology/seq-cleaner")
print(tool({"sequence": "MKT..xxAA"}))
1 maintainer
Metadata
1 maintainer
Release files for ai4science 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai4science-0.1.1.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai4science-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / ai4science-0.1.1.tar.gz
| Download URL | ai4science-0.1.1.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / ai4science-0.1.1-py3-none-any.whl
| Download URL | ai4science-0.1.1-py3-none-any.whl |
|---|---|
| Size | 13.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e0102f360f03cd3f6f24d4a1a748b2f356d3464e56ab7878fec23f3b37458b55
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
