SciANN is an Artificial Neural Netowork library, based on Python, Keras, and TensorFlow, designed to perform scientific computations, solving ODEs and PDEs, curve-fitting, etc, very efficiently.
Read the documentation at: https://sciann.com
SciANN is compatible with Python 2.7-3.6 and is distributed under the MIT license.
Release files for SciANN 0.7.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SciANN-0.7.0.1.tar.gz | 361.7 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SciANN-0.7.0.1-py3.9.egg | Legacy Egg format | - | - | Details |
| SciANN-0.7.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 805.2 kB
Release files / SciANN-0.7.0.1.tar.gz
| Download URL | SciANN-0.7.0.1.tar.gz |
|---|---|
| Size | 361.7 kB |
| Tags | Source |
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SHA-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/3.9.15
|
Release files / SciANN-0.7.0.1-py3.9.egg
| Download URL | SciANN-0.7.0.1-py3.9.egg |
|---|---|
| Size | 273.9 kB |
| Tags | Egg |
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SHA-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/3.9.15
|
Release files / SciANN-0.7.0.1-py3-none-any.whl
| Download URL | SciANN-0.7.0.1-py3-none-any.whl |
|---|---|
| Size | 169.6 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 |
twine/4.0.2 CPython/3.9.15
|