Skip to main content

Collection of Simple Numerical Routines using TensorFlow

Project description

Numerical Python using TensorFlow

Functionalities:

  • Embedding: Sammon algorithm;
  • Linear regression (with Ridge, Lasso, and ElasticNet);
  • Tensor products: Khatri-Rao product and Kronecker product;
  • Tensor decomposition using ALS.

News

  • 01/16/2020: tfnumpy 0.1.1 released.
  • 12/24/2019: tfnumpy 0.1.0 released.
  • 09/02/2019: tfnumpy 0.0.6 released.
  • 07/07/2019: tfnumpy 0.0.5 released.
  • 05/18/2019: tfnumpy 0.0.4 released.
  • 04/25/2019: tfnumpy 0.0.3 released.
  • 01/19/2019: tfnumpy 0.0.2 released.
  • 11/05/2018: tfnumpy 0.0.1 released.

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

tfnumpy-0.1.1.tar.gz (9.5 kB view details)

Uploaded Source

File details

Details for the file tfnumpy-0.1.1.tar.gz.

File metadata

  • Download URL: tfnumpy-0.1.1.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.19.7 CPython/2.7.13

File hashes

Hashes for tfnumpy-0.1.1.tar.gz
Algorithm Hash digest
SHA256 2d709cbef83834348b36ec0992705ddc4b6de1395e63e70721502e5a53862352
MD5 49d0cd6750499305afa3cf21a855f641
BLAKE2b-256 281e439466283b6e58ac31374cf5f3dcb970dce99c4193adb084f1c41027b1b5

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