This moved to here: https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb
guschmue
/ README.md
Last active
June 11, 2019 01:11
convert bert to onnx using https://github.com/onnx/tensorflow-onnx
jganzabal
/ Nvidia Titan XP + MacBook Pro + Akitio Node + Tensorflow + Keras.md
Last active
July 10, 2025 15:43
How to setup Nvidia Titan XP for deep learning on a MacBook Pro with Akitio Node + Tensorflow + Keras
This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
cbaziotis
/ AttentionWithContext.py
Last active
April 25, 2022 14:37
Keras Layer that implements an Attention mechanism, with a context/query vector, for temporal data. Supports Masking. Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] "Hierarchical Attention Networks for Document Classification"
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| def dot_product(x, kernel): | |
| """ | |
| Wrapper for dot product operation, in order to be compatible with both | |
| Theano and Tensorflow | |
| Args: | |
| x (): input | |
| kernel (): weights | |
| Returns: | |
| """ | |
| if K.backend() == 'tensorflow': |
cbaziotis
/ Attention.py
Last active
October 22, 2024 08:31
Keras Layer that implements an Attention mechanism for temporal data. Supports Masking. Follows the work of Raffel et al. [https://arxiv.org/abs/1512.08756]
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| from keras import backend as K, initializers, regularizers, constraints | |
| from keras.engine.topology import Layer | |
| def dot_product(x, kernel): | |
| """ | |
| Wrapper for dot product operation, in order to be compatible with both | |
| Theano and Tensorflow | |
| Args: |
