VSMlib
VSMlibs helps to perform a range of tasks within a framework of vector space models of computational linguistics.
What functionality is included
creating word embeddings by counting and neural-based methods, including sub-word-level models
importing and exporting from a banch of popular formats of word embeddings and providing unified access to word-vectors
perfroming a range of downstream tasks / benchmarks on embeddings
visualising embeddings
How do I get set up?
pip3 install vsmlib for stable version
pip3 install git+https://github.com/undertherain/vsmlib.git for latest dev version
Python 3.5 or later is required
📖 Documentation
vsmlib overview and end-to-end examples. |
|
The detailed reference for vsmlib API. |
|
How to contribute to the vsmlib project and code base. |
Who do I talk to?
Issue tracker is the way to go
Metadata
Release files for vsmlib 0.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vsmlib-0.1.22-py3-none-any.whl | Python 3 | none | any | Details |
Release files / vsmlib-0.1.22-py3-none-any.whl
| Download URL | vsmlib-0.1.22-py3-none-any.whl |
|---|---|
| Size | 60.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b3d2476b8c5474d18728397d424d3daab5e582c0ef8d8c8d7649a8ede2c505d5
|
|
BLAKE2b-256 checksum How to use checksums |
5d69f93b767ad7ecb6c73fff44e549b692c9e04917e41ce093dea1d318c7bfce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |