| huseinzol05/NLP-Models-Tensorflow |
1,329 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0 |
| google-research/bigbird |
433 |
|
0 |
0 |
over 3 years ago |
0 |
|
25 |
apache-2.0 |
Python |
| Transformers for Longer Sequences |
| carpedm20/neural-summary-tensorflow |
276 |
|
0 |
0 |
about 9 years ago |
0 |
|
2 |
|
Python |
| In progress |
| ymfa/seq2seq-summarizer |
259 |
|
0 |
0 |
almost 7 years ago |
0 |
|
10 |
mit |
Python |
| Pointer-generator reinforced seq2seq summarization in PyTorch |
| lipiji/neural-summ-cnndm-pytorch |
194 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail |
| harpribot/deep-summarization |
126 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
mit |
Python |
| Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews |
| JRC1995/Abstractive-Summarization |
113 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention. |
| pochih/SA-papers |
108 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| 📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢 |
| mast-group/convolutional-attention |
100 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
bsd-3-clause |
HTML |
| Repository for the code of the "A Convolutional Attention Network for Extreme Summarization of Source Code" paper |
| alesee/abstractive-text-summarization |
99 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper. |
