Knowledge Graph Embedding Learning

This is an learning modules with PyTorch to learn knowledge embeddings. It's more towards research now. It heavily used another library kgekit.

The design follows DIY, data oriented design and a few OO classes.

Features

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for kgegrok 0.5.0
File	Size	Uploaded
kgegrok-0.5.0.tar.gz	2.7 MB	Feb 8, 2019	Details

Table of built distributions (wheels) for kgegrok 0.5.0
File	Interpreter	ABI	Platform	Reset
kgegrok-0.5.0-py3-none-any.whl 28.1 kB Feb 8, 2019	Python 3	none	any	Details

Total release size: 2.7 MB

Download URL	kgegrok-0.5.0.tar.gz
Size	2.7 MB
Tags	Source
SHA-256 checksum How to use checksums	`231c9bf16adb39c300b7c9bf9722ad618bb7333c7033a2488cc7ecaba7583624`
BLAKE2b-256 checksum How to use checksums	`ef0481b936e170b5769324d3d518228809bdd78aac1568950e62042587f5b09a`
Upload date	Feb 8, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2`

Download URL	kgegrok-0.5.0-py3-none-any.whl
Size	28.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`36c36f01d7b180402f185695fad26f675bda2e502b2230b36e93d08289a3e4c4`
BLAKE2b-256 checksum How to use checksums	`c448f86da918e720172615f78af2352da025bb9983933389d683e1e3960d9d3b`
Upload date	Feb 8, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.2`

This release

0.5.0 This release