python-thinc 8.1.7-1build2 source package in Ubuntu
Changelog
python-thinc (8.1.7-1build2) noble; urgency=medium
* No-change rebuild against dh-python 6.20231223 to
drop dependency on cython3-legacy
-- Graham Inggs <email address hidden> Mon, 25 Dec 2023 20:34:39 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-thinc_8.1.7.orig.tar.gz | 1.6 MiB | 36db9b7584083feabc1e0d6728fbc92f0c0c38ec19fd8d84a5f3d902f0617dba |
| python-thinc_8.1.7-1build2.debian.tar.xz | 4.1 KiB | baaeac6d6d662881959985cf15e4463f3b1907b188ba7e6b7ddf07bd6c2922aa |
| python-thinc_8.1.7-1build2.dsc | 2.4 KiB | caba75db56bd58b656ad38aafa042bded79c0da350f6b58741ef835de57b722b |
Available diffs
- diff from 8.1.7-1build1 to 8.1.7-1build2 (347 bytes)
Binary packages built by this source
- python3-thinc: Practical Machine Learning for NLP in Python
Thinc is the machine learning library powering spaCy <https:/
/spacy. io>.
It features a battle-tested linear model designed for large sparse
learning problems, and a flexible neural network model under development
for spaCy v2.0 <https://spacy. io/usage/ v2>.
.
Thinc is a practical toolkit for implementing models that follow the
"Embed, encode, attend, predict" architecture. It's designed to be easy
to install, efficient for CPU usage and optimised for NLP and deep
learning with text – in particular, hierarchically structured input
and variable-length sequences.
- python3-thinc-dbgsym: debug symbols for python3-thinc
