| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| kaushalshetty/Structured-Self-Attention |
412 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Python |
| A Structured Self-attentive Sentence Embedding |
| deepakn97/relationPrediction |
347 |
|
0 |
0 |
almost 5 years ago |
0 |
|
7 |
|
Python |
| ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs |
| benedekrozemberczki/AttentionWalk |
299 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018). |
| sujitpal/eeap-examples |
241 |
|
0 |
0 |
about 7 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe |
| cbaziotis/datastories-semeval2017-task4 |
171 |
|
0 |
0 |
almost 8 years ago |
0 |
|
8 |
mit |
Python |
| Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis". |
| AlexGidiotis/Document-Classifier-LSTM |
167 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Python |
| A bidirectional LSTM with attention for multiclass/multilabel text classification. |
| lium-lst/nmtpy |
128 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
other |
Python |
| nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines. |
| AlexYangLi/ABSA_Keras |
103 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
|
Python |
| Keras Implementation of Aspect based Sentiment Analysis |
| cedias/Hierarchical-Sentiment |
96 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Hierarchical Models for Sentiment Analysis in Pytorch |
