https://github.com/deeppavlov/dp_notebooks
https://github.com/deeppavlov/dp_notebooks
Last synced: over 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/deeppavlov/dp_notebooks
- Owner: deeppavlov
- Created: 2018-12-13T08:35:17.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-09-04T10:18:31.000Z (almost 3 years ago)
- Last Synced: 2024-10-27T18:21:00.389Z (almost 2 years ago)
- Language: Jupyter Notebook
- Size: 1.89 MB
- Stars: 63
- Watchers: 5
- Forks: 22
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DeepPavlov articles with Python code
* [How to build ‘Hello World!’ bot with DeepPavlov in 4 steps](https://medium.com/deeppavlov/how-to-build-hello-world-bot-with-deeppavlov-in-4-steps-b8636563ff81) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_hello_bot.ipynb)
* [Simple intent recognition and question answering with DeepPavlov](https://medium.com/deeppavlov/simple-intent-recognition-and-question-answering-with-deeppavlov-c54ccf5339a9) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_autoFAQ.ipynb)
* [Open-domain question answering with DeepPavlov](https://medium.com/deeppavlov/open-domain-question-answering-with-deeppavlov-c665d2ee4d65) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_ODQA.ipynb)
* [Simple text classification skill of DeepPavlov](https://towardsdatascience.com/simple-text-classification-skill-of-deeppavlov-54bc1b61c9ea)
* [The BERT-based text classification models of DeepPavlov](https://towardsdatascience.com/the-bert-based-text-classification-models-of-deeppavlov-a85892f14d61) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_tf.ipynb)
* [19 entities for 104 languages: A new era of NER with the DeepPavlov multilingual BERT](https://towardsdatascience.com/19-entities-for-104-languages-a-new-era-of-ner-with-the-deeppavlov-multilingual-bert-1bfa6d413ea6) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_tf.ipynb)
* [BERT-based Cross-Lingual Question Answering with DeepPavlov](https://towardsdatascience.com/bert-based-cross-lingual-question-answering-with-deeppavlov-704242c2ac6f) with [Colab notebook](https://colab.research.google.com/github/deepmipt/dp_notebooks/blob/master/DP_tf.ipynb)