nmf-torch

A PyTorch implementation on Non-negative Matrix Factorization.

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

A PyTorch implementation on Non-negative Matrix Factorization.

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.1.1

Jun 24, 2021

This version

0.1.0

Jun 20, 2021

Download files

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

Source Distribution

nmf-torch-0.1.0.tar.gz (154.3 kB view hashes)

Uploaded Jun 20, 2021 Source

Built Distributions

nmf_torch-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (703.5 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.9 manylinux: glibc 2.17+ x86-64

nmf_torch-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl (141.0 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.9 macOS 10.9+ x86-64

nmf_torch-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (755.8 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.8 manylinux: glibc 2.17+ x86-64

nmf_torch-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl (149.9 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.8 macOS 10.9+ x86-64

nmf_torch-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (657.7 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.7m manylinux: glibc 2.17+ x86-64

nmf_torch-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl (154.4 kB view hashes)

Uploaded Jun 20, 2021 CPython 3.7m macOS 10.9+ x86-64

Hashes for nmf-torch-0.1.0.tar.gz

Hashes for nmf-torch-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`3b9776dd7622e30fa7edee9c675fe218cc5ecd6bb0d2ca554ddf0d4db8e94cb6`
MD5	`14ad8b853b9609d947c83ae94b8f0262`
BLAKE2b-256	`0887be759ab8b595424a97ecaa10bb306b172cd7c96842e716def7f74cbd0112`

Hashes for nmf_torch-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nmf_torch-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`7af5f8a6b85537fe549c7118c8203fba91b9702737c9c8edd9fa4cb31ba062a8`
MD5	`df58eb4ca239d3b79bb24ba9f9de4319`
BLAKE2b-256	`53f82583ab1e1df6c2ca27112861e74bbc3aee0394ad6701e50b904d91dd0fe5`

Hashes for nmf_torch-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for nmf_torch-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9ca5c54e2bed40f4469a862169ae62f032e68a9ba5bf058b1fd1a8bb1a16d1d7`
MD5	`933b7e9218d9430578125b6c614d424a`
BLAKE2b-256	`17773fb1ea0ed64fa0f52c3d558f6415f340b8942cce53ba3c7935be76faadfa`

Hashes for nmf_torch-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nmf_torch-0.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`69a7f214f69bd145f97317947e4ae17e69cee9088aee4b3f0fb0f209010835c5`
MD5	`c660b31bc09adb6943fdf6545d59d72d`
BLAKE2b-256	`63c85a802dd74a62a05be9a2f06d73040993b4c019c08f36e33bf5432128330f`

Hashes for nmf_torch-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for nmf_torch-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`47cf308a37f710e76447d89fb2c412e6faa3fbd54357e32b1e04d01a6f8cec3e`
MD5	`87c127a4c76dde0ce698498728158fd8`
BLAKE2b-256	`4d3a76f7e1356ef9593a33e67f42ff39d3a5bd60715a1bb486c5d8c436aebd77`

Hashes for nmf_torch-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nmf_torch-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`0d94b1c125d50421ba9ab5f85d2c8d96d43a83e7ab6ef7426a80fb7dcedf4401`
MD5	`ce112154b7e82295ffa20ef48af3e80a`
BLAKE2b-256	`a7152f34e0a3bcb28560ce13c89a57042fc5190be55eba32bb2a40101eb8d58d`

Hashes for nmf_torch-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for nmf_torch-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7b447938aca7bf31748591383eac0440cf33529906e01860ce29482c497dbcb4`
MD5	`580748721841aad560cc69f5def0bb66`
BLAKE2b-256	`6bfb6261c13932b0a25c2429fb9c16f1d91afe4155af9cb5348d6565d847774f`