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Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
**System information** - OS Platform and Distribution : Linux Ubuntu 20.04 - TensorFlow version and how it was installed (source or binary): tf==2.8.2, source - TensorFlow-Addons version and how it...
Currently, TensorFlow has Focal loss which can be one of the options to handle the class imbalance issues. But I myself have faced problems in the case of some datasets...
Currently, `dense_image_warp` uses only bilinear interpolation. It would be beneficial to use other interpolation schemes for better quality or different tradeoffs. Other interpolation schemes are already available in other operations...
**System information** - OS Platform and Distribution: Linux Ubuntu 16.04 - TensorFlow version and how it was installed (source or binary): 2.8.2 pip - TensorFlow-Addons version and how it was...
The current implementation of `MultiOptimizer` puts grads and vars inside the `optimizer_specs` variable. Since the grads and vars are not serializable, any model that uses `MultiOptimizer` class cannot be saved...
**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04 - TensorFlow version and how it was installed (source or binary): source - TensorFlow-Addons version and how...
**System information** - Pop_OS 22.04 - Not installed - Not installed (source build) - Python version: 3.8.12 - Is GPU used? (yes/no): yes **Describe the bug** While trying a source...
**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOs M1 (12.0 Beta Monterey) - TensorFlow version and how it was installed (source or binary): 2.5.0 (pip) -...
**System information** - TensorFlow version (you are using):2.0 alpha - TensorFlow Addons version:0,21 - Is it in the tf.contrib (if so, where):no - Are you willing to contribute it (yes/no):yes,if...
HI to all, I am trying to interpret different results I am getting in tensorflow for MCC. I have 3 classes and I am using categorical_crossentropy as a loss function....