tensorflow-addons 0.23.0
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TensorFlow Addons.
Contents
TensorFlow Addons.
Stars: 1691, Watchers: 1691, Forks: 611, Open Issues: 92The tensorflow/addons
repo was created 5 years ago and the last code push was 1 months ago.
The project is very popular with an impressive 1691 github stars!
How to Install tensorflow-addons
You can install tensorflow-addons using pip
pip install tensorflow-addons
or add it to a project with poetry
poetry add tensorflow-addons
Package Details
- Author
- Google Inc.
- License
- Apache 2.0
- Homepage
- PyPi:
- https://pypi.org/project/tensorflow-addons/
- GitHub Repo:
- https://github.com/tensorflow/addons
Classifiers
- Scientific/Engineering/Mathematics
- Software Development/Libraries
- Software Development/Libraries/Python Modules
Related Packages
Errors
A list of common tensorflow-addons errors.
Code Examples
Here are some tensorflow-addons
code examples and snippets.
GitHub Issues
The tensorflow-addons package has 92 open issues on GitHub
- Proposed feature: Multi-Head Attention with O(sqrt(N)) memory
- Make GN and IN the same dtype behavior as BN or LN in mixed_precision
- Exclude parameters from AdamW's weight decaying
- ValueError: Dimensions must be equal, but are 100 and 19 for '{{node cond/add_1}} = AddV2[T=DT_INT32](cond/add, cond/add_1/Cast)' with input shapes: [?,100], [?,100,19].
- Cannot install tensorflow-addons with python 3.10
- Added Precision & Recall Metrics with average and threshold parameter
- Loss calculated incorrectly in networks_seq2seq_nmt.ipynb
- [WIP] Build against tf2.8rc0
- Fix backport bot
- MacOS Arm64 support for stable TF-Addons Releases
- ValueError: Dimensions must be equal, but are 75 and 8 for
- Fix under tested build on macos
- Support for macOS Monterey
- dev_container
- Triangular2/Exponential cyclical learning rates do not work when logging with Tensorboard