multilearn
Pytorch wrapper for multi-task learning. The GitHub repo can be found in here.
Coding Style
Python scripts follow PEP 8 guidelines. A usefull tool to use to check a coding style is flake8.
flake8 <script>
Authors
Graduate Students
- Lane Schultz - Main Contributer - leschultz
Acknowledgments
- The Computational Materials Group (CMG) at the University of Wisconsin - Madison
- Professor Dane Morgan ddmorgan and Dr. Ryan Jacobs rjacobs914 for computational material science guidence
Release files for multilearn 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| multilearn-0.0.9.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multilearn-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.8 kB
Release files / multilearn-0.0.9.tar.gz
| Download URL | multilearn-0.0.9.tar.gz |
|---|---|
| Size | 9.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
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Release files / multilearn-0.0.9-py3-none-any.whl
| Download URL | multilearn-0.0.9-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
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