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This repo is built to collect multiple implementations for abstractive approaches to address text summarization
it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive
Features
- Deep learning
- Machine learning
- seq2seq
- Reinforcement leanring
- curriculum learning
- google colab
- RNN
- LSTM
Project Samples
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