| aws-samples/amazon-sagemaker-keras-text-classification |
91 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
apache-2.0 |
Jupyter Notebook |
| A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker |
| uvipen/Character-level-cnn-pytorch |
47 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Character-level CNN for text classification |
| uvipen/Very-deep-cnn-pytorch |
30 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Very deep CNN for text classification |
| DebarshiChanda/Amazon-ML-Challenge2021 |
28 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Scripts and Approach for Amazon ML Challenge |
| jrzaurin/nlp-stuff |
27 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A bit of everything about text and nlp [IN PROGRESS] |
| uvipen/Character-level-cnn-tensorflow |
25 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Character-level CNN for text classification |
| MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data |
23 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project. |
| donghyeonk/fastText1607 |
22 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf) |
| alaBay94/Sentiment-analysis-amazon-Products-Reviews |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| NLP with NLTK for Sentiment analysis amazon Products Reviews |
| uvipen/Very-deep-cnn-tensorflow |
16 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Very deep CNN for text classification |
