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Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04.5 LTS - TensorFlow version and how it was installed (source or binary): TF 2.9.1, binary from NVIDIA...
# Description Adds the `MutualInformation` metric. Implementation based on the mutual information estimator described in _Weihao Gao, Sreeram Kannan, Sewoong Oh, and Pramod Viswanath. Estimating mutual information for discrete-continuous mixtures._...
**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOS 12.5 - TensorFlow version and how it was installed (source or binary): binary - TensorFlow-Addons version and how...
**Describe the feature and the current behavior/state.** iNALU (improved Neural Arithmetic Logic Modules) is the layer to learn addition, subtraction, multiplication, and division in a fully explainable/transparent way. Due to...
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04 - TensorFlow version and how it was installed (source or binary): 2.9.1-binary - TensorFlow-Addons version and how it was...
Hi, spectral normalization layer is sensitive to initialized weights to zeroes. I fix it. Thanks.
**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **Ubuntu 18.04.3 LTS** - TensorFlow version and how it was installed (source or binary): **2.9.1 (pypi)** - TensorFlow-Addons version...
# Description Fixed bug which appears at the end of the first training epoch. With TF2.5 or higher, the optimizer returns the step variable as int64 but the scale_fn function...
**Describe the feature and the current behavior/state.** The feature allows for inclusion of a new layer type called Memory Unit. This layer allows for efficient memorization of the data, that...
**Describe the feature and the current behavior/state.** The paper's abstract: In a typical multi-label setting, a picture contains on average few positive labels, and many negative ones. This positive-negative imbalance...