https://github.com/deepmipt/dp_tutorials
https://github.com/deepmipt/dp_tutorials
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/deepmipt/dp_tutorials
- Owner: deeppavlov
- Created: 2019-06-30T23:59:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-19T09:02:04.000Z (over 5 years ago)
- Last Synced: 2024-08-04T03:02:04.902Z (8 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 1.68 MB
- Stars: 31
- Watchers: 7
- Forks: 15
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-google-colab - DeepPavlov Tutorials - An open source library for deep learning end-to-end dialog systems and chatbots. (Technologies)
README
# DeepPavlov tutorials
* [DeepPavlov: Sentence Classification with Word Embeddings](https://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/Tutorial_1_Sentence_classification_with_word_embeddings.ipynb)
* [DeepPavlov: Transfer Learning with BERT. Classification, Tagging, QA, Zero-shot transfer to 103 languages](http://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/Tutorial_2_DeepPavlov_BERT_transfer_learning.ipynb)
* [DeepPavlov: Hybrid Bot](https://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/Tutorial_3_Hybrid_bot.ipynb)
* [How to solve NLP tasks with DeepPavlov using BERT-based models](https://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/Tutorial_RAAI_Summer_School.ipynb)
* [DeepPavlov: Классификация текстов с использованием векторных представлений](https://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/russian_tutorials/Tutorial_1_RU_%D0%9A%D0%BB%D0%B0%D1%81%D1%81%D0%B8%D1%84%D0%B8%D0%BA%D0%B0%D1%86%D0%B8%D1%8F_%D1%82%D0%B5%D0%BA%D1%81%D1%82%D0%BE%D0%B2.ipynb)
* [Классификатор на основе BERT архитектуры](https://colab.research.google.com/github/deepmipt/dp_tutorials/blob/master/russian_tutorials/Tutorial_3_RU_Fine_tuning_BERT_classifier.ipynb)
# DeepPavlov slides
* [Introduction to Neural Networks for NLP. Word Embeddings](https://docs.google.com/presentation/d/1JkYNMlyZsN4PyDipMfnZLg_99JpLrAgSGDsjAMHHkEQ/edit?usp=sharing)
* [Advanced Topics in NLP: Unsupervised Pre-training, Transfer Learning](https://docs.google.com/presentation/d/1BQW4MfammNmD7LVTcxLSQxNGBjQBed7aZ_imAFJsqnU/edit?usp=sharing)
* [Goal-oriented Dialog
Systems](https://docs.google.com/presentation/d/1TbGHJJf7HgGWKnNY8U08_oVE23KwKSr0iiNVb95vtU0/edit?usp=sharing)
* [NLP tasks with DeepPavlov](https://docs.google.com/presentation/d/1GWffYmOi6VjqrkFdXo3gb8GbWBML1k3ECkfvPEg_NYQ/edit?usp=sharing)
* [Векторные представления текстов. Классификация текстов](https://docs.google.com/presentation/d/1zfalXzzWyl4Xpd6DIbdDOaIeghfZnLh0mRAyVelGLGM/edit?usp=sharing)
* [Архитектуры на основе attention. Contextulaized embeddings](https://docs.google.com/presentation/d/1kAUxbURxDhuxT2vT9tyEsO_mzrJutbLet5OhkCMtUpg/edit?usp=sharing)