This is a constantly-updated list of code examples that we're currently interested in.
Reference TF/Keras implementation
Reference paper 1 2 Reference TF implementation
- Currently being worked on by @parthivc and @Korusuke as of 07/14/20. See issue #144
Recommendations:
- Find a better, more interesting dataset
- Make it work better
- Add detailed explanations
- As of 6/23/20, this is being worked on. See issue #112
Example TF2/Keras implementation
Example TF2/Keras implementation
Using word bi-grams + TF-IDF + a small MLP, from raw text strings.
The tokenization and extraction of TF-IDF ngrams should be done with the TextVectorization
layer.
The dataset should have at least 50k samples and there should be at least a dozen of labels.
Reference implementation TF/Keras implementation
A convnet trained with a triplet loss to estimate image similarity. It could be trained on something like this dataset (other datasets are also possible).