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echoes
- 🤖 Machine learning with Echo State Networks(ESN)
- 🧱 High level API,
scikit-learncompatible API, egfit-predictinterface - ⚡️ Fast! (Thanks to numba ✨)
Installation and quick start
pip install echoes
See Documentation and example notebooks.
Feedback
Any bugs, suggestions, problems? Just open an issue!
Citing
If you find echoes useful for a publication, then please use the following BibTeX to cite it:
@misc{echoes,
author = {Damicelli, Fabrizio},
title = {echoes: Echo State Networks with Python},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/fabridamicelli/echoes}},
}
Tests
Run tests with
make test
References
1 maintainer
Metadata
1 maintainer
Release files for echoes 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| echoes-1.0.2.tar.gz | 4.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| echoes-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.4 MB
Release files / echoes-1.0.2.tar.gz
| Download URL | echoes-1.0.2.tar.gz |
|---|---|
| Size | 4.3 MB |
| Tags | Source |
|
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 |
uv/0.7.9
|
Release files / echoes-1.0.2-py3-none-any.whl
| Download URL | echoes-1.0.2-py3-none-any.whl |
|---|---|
| Size | 102.5 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.9
|
