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added README and refactor
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huseinzol05 committed Apr 27, 2019
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4 changes: 3 additions & 1 deletion abstractive-summarization/README.md
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## How-to

1. Unzip dataset.tar.gz
1. Unzip [dataset.tar.gz](dataset.tar.gz)

2. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion chatbot/README.md
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1. Unzip [dataset.tar.gz](dataset.tar.gz)

2. Run any notebooks.
2. Run any notebook using Jupyter Notebook.

## Accuracy, not sorted

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4 changes: 4 additions & 0 deletions dependency-parser/README.md
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## How-to

1. Run any notebook using Jupyter Notebook.

## Notes

For 5.attention-is-all-you-need.ipynb, you can get the dataset from https://github.com/huseinzol05/Malaya-Dataset/tree/master/dependency
2 changes: 1 addition & 1 deletion embedded/README.md
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1. Make sure `data` folder in the same directory of the notebooks.

2. Run any notebooks.
2. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion entity-tagging/README.md
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Data provided inside this directory, [entities-data-v3.json](entities-data-v3.json)

1. Run any notebooks.
1. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion extractive-summarization/README.md
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## How-to

1. Just run any notebook!
1. Run any notebook using Jupyter Notebook.
3 changes: 3 additions & 0 deletions generator/README.md
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## How-to

1. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion language-detection/README.md
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awk -F"\t" '{print"__label__"$2" "$3}' < sentences.csv | shuf > all.txt
```

3. Run any notebooks.
3. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion neural-machine-translation/README.md
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## How-to

1. Run any notebooks.
1. Run any notebook using Jupyter Notebook.

## Accuracy, not sorted

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2 changes: 1 addition & 1 deletion ocr/README.md
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## How-to

1. Download dataset from here, http://baidudeeplearning.bj.bcebos.com/image_contest_level_1.tar.gz
2. Run any notebooks
2. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion pos-tagging/README.md
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Data provided inside this directory, [pos-data-v3.json](pos-data-v3.json)

1. Run any notebooks.
1. Run any notebook using Jupyter Notebook.
3 changes: 3 additions & 0 deletions question-answer/README.md
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## How-to

1. Run any notebook using Jupyter Notebook.
4 changes: 3 additions & 1 deletion speech-to-text/README.md
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1. First, you need to run [download.ipynb](download.ipynb)

2. Run any notebooks or `train.py`.
2. Run any notebook using Jupyter Notebook or `python train.py`.

## Notes

I can't train any convolution based model inside jupyter notebook due to some cuDNN issues related to jupyter.
3 changes: 3 additions & 0 deletions stemming/README.md
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## How-to

1. Run any notebook using Jupyter Notebook.
2 changes: 1 addition & 1 deletion text-classification/README.md
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1. Make sure `data` folder in the same directory of the notebooks.

2. Run any notebooks.
2. Run any notebook using Jupyter Notebook.

## Score and average time taken per epoch, not sorted

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2 changes: 1 addition & 1 deletion text-similarity/README.md
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3. Unzip in the same notebooks location.

4. Run any of it.
4. Run any notebook using Jupyter Notebook.

## Improvement

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2 changes: 1 addition & 1 deletion text-to-speech/README.md
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2. Go to any training folder, and run [caching.py](caching.py)

3. Run any training notebooks.
3. Run any notebook using Jupyter Notebook.

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