Skip to main content

A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SciANN-0.7.0.1.tar.gz (361.7 kB view details)

Uploaded Source

Built Distributions

SciANN-0.7.0.1-py3.9.egg (273.9 kB view details)

Uploaded Source

SciANN-0.7.0.1-py3-none-any.whl (169.6 kB view details)

Uploaded Python 3

File details

Details for the file SciANN-0.7.0.1.tar.gz.

File metadata

  • Download URL: SciANN-0.7.0.1.tar.gz
  • Upload date:
  • Size: 361.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for SciANN-0.7.0.1.tar.gz
Algorithm Hash digest
SHA256 7d7acf61346b4201628c5656e2c904e9a9c7cda78086e76d075b5c7bb90adf3c
MD5 74786922dbadbd76379b049dc2ccd895
BLAKE2b-256 5cc7f0ce5ca0d454ce6c1cde063008afbc3820522425847bdfe2455a87c52eb6

See more details on using hashes here.

File details

Details for the file SciANN-0.7.0.1-py3.9.egg.

File metadata

  • Download URL: SciANN-0.7.0.1-py3.9.egg
  • Upload date:
  • Size: 273.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for SciANN-0.7.0.1-py3.9.egg
Algorithm Hash digest
SHA256 ef246dac5d2b4e294d03ae375aa1f62d4f57d88c81aaf3013643738c2dccbb3f
MD5 0e419884d670c39e1fb81d17b7f7e5d2
BLAKE2b-256 83a89a47d53c5f1b352f44773761c1c469091f24063a9fe7a20a13bf238162cf

See more details on using hashes here.

File details

Details for the file SciANN-0.7.0.1-py3-none-any.whl.

File metadata

  • Download URL: SciANN-0.7.0.1-py3-none-any.whl
  • Upload date:
  • Size: 169.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for SciANN-0.7.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 eb96e0e74fff804c022d695544dfb670d1ecaed0357c54523eeb63c120159784
MD5 95f3db8bee26ea20b8fc08a9979aaccc
BLAKE2b-256 44925e95e8c6bdb46cf26cc3b7ce68e28e1f50b2b05bb0a841c893bbba2a88d4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page