Solve math problems with machine learning and planning algorithms.
Resources
Mathy's website has rich documentation with visualizations and examples that can be directly executed in Google Colab: https://mathy.ai
- Mathy Core contains the expression parser and base rules for mathy
- Mathy Envs contains the RL environments for solving problems step-by-step
Contributors
Mathy wouldn't be possible without the wonderful contributions of the following people:
Justin DuJardin |
Guillem Duran Ballester |
This project follows the all-contributors specification. Contributions of any kind welcome!
Metadata
Release files for mathy 0.9.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mathy-0.9.6.tar.gz | 42.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mathy-0.9.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 89.9 kB
Release files / mathy-0.9.6.tar.gz
| Download URL | mathy-0.9.6.tar.gz |
|---|---|
| Size | 42.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
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Release files / mathy-0.9.6-py3-none-any.whl
| Download URL | mathy-0.9.6-py3-none-any.whl |
|---|---|
| Size | 48.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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/4.0.2 CPython/3.11.6
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