knowledge representation learning
Project description
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
- Small memory footprint
- Fast parallelized sampling and batch done in C++
- Deterministic
- Easily extensible and readable
- Visualization
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
kgegrok-0.5.0.tar.gz
(2.7 MB
view details)
Built Distribution
kgegrok-0.5.0-py3-none-any.whl
(28.1 kB
view details)
File details
Details for the file kgegrok-0.5.0.tar.gz
.
File metadata
- Download URL: kgegrok-0.5.0.tar.gz
- Upload date:
- Size: 2.7 MB
- Tags: Source
- Uploaded using 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 231c9bf16adb39c300b7c9bf9722ad618bb7333c7033a2488cc7ecaba7583624 |
|
MD5 | c792ec67193a41b02a55d2f916ce769d |
|
BLAKE2b-256 | ef0481b936e170b5769324d3d518228809bdd78aac1568950e62042587f5b09a |
File details
Details for the file kgegrok-0.5.0-py3-none-any.whl
.
File metadata
- Download URL: kgegrok-0.5.0-py3-none-any.whl
- Upload date:
- Size: 28.1 kB
- Tags: Python 3
- Uploaded using 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 36c36f01d7b180402f185695fad26f675bda2e502b2230b36e93d08289a3e4c4 |
|
MD5 | 1a3904bfcd0c311597407ccb76b83db4 |
|
BLAKE2b-256 | c448f86da918e720172615f78af2352da025bb9983933389d683e1e3960d9d3b |