Larq Zoo
For more information, see larq.dev/zoo.
Larq Zoo is part of a family of libraries for BNN development; you can also check out Larq for building and training BNNs and Larq Compute Engine for deployment on mobile and edge devices.
Requirements
Before installing Larq Zoo, please install:
- Python version
3.9or3.10 - Tensorflow version
2.4up to2.12.
Installation
You can install Larq Zoo with Python's pip package manager:
pip install larq-zoo
About
Larq Zoo is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks.
Release files for larq-zoo 2.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| larq_zoo-2.4.0.tar.gz | 40.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| larq_zoo-2.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 97.3 kB
Release files / larq_zoo-2.4.0.tar.gz
| Download URL | larq_zoo-2.4.0.tar.gz |
|---|---|
| Size | 40.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / larq_zoo-2.4.0-py3-none-any.whl
| Download URL | larq_zoo-2.4.0-py3-none-any.whl |
|---|---|
| Size | 57.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|