Binary package “python3-thinc” in ubuntu oracular
Practical Machine Learning for NLP in Python
Thinc is the machine learning library powering spaCy <https:/
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:/
.
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.
Source package
Published versions
- python3-thinc 8.2.2-1ubuntu1 in amd64 (Release)
- python3-thinc 9.0.0-2 in amd64 (Proposed)
- python3-thinc 9.0.0-2 in amd64 (Release)
- python3-thinc 8.2.2-1ubuntu1 in arm64 (Release)
- python3-thinc 9.0.0-2 in arm64 (Proposed)
- python3-thinc 9.0.0-2 in arm64 (Release)
- python3-thinc 8.2.2-1ubuntu1 in armhf (Release)
- python3-thinc 9.0.0-2 in armhf (Proposed)
- python3-thinc 9.0.0-2 in armhf (Release)
- python3-thinc 8.2.2-1ubuntu1 in ppc64el (Release)
- python3-thinc 9.0.0-2 in ppc64el (Proposed)
- python3-thinc 9.0.0-2 in ppc64el (Release)
- python3-thinc 8.2.2-1ubuntu1 in riscv64 (Release)
- python3-thinc 9.0.0-2 in riscv64 (Proposed)
- python3-thinc 9.0.0-2 in riscv64 (Release)
- python3-thinc 8.2.2-1ubuntu1 in s390x (Release)
- python3-thinc 9.0.0-2 in s390x (Proposed)
- python3-thinc 9.0.0-2 in s390x (Release)