NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
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Updated
May 20, 2023 - Python
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
📓 Long(er) text representation and classification using Doc2Vec embeddings
Karma of Humans is AI
Zeppelin 화재 뉴스 기사 분류 예제
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
Jupyter Notebook that can classify and visualize text files using Machine Learning
Movie review dataset Word2Vec & sentiment classification Zeppelin notebook
A brief overview of how to use fastText to train powerful text classifiers in a python notebook.
Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques
Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.
A collection of notebooks for Natural Language Processing
NLP demos and talks made with Jupyter Notebook and reveal.js
In this notebook, I am updating NLP notebooks, and projects
Kaggle competition- colab notebook
Jupyter notebook for Muntazir's blog post entitled, "What Code Reviewers Talk About"
Repository with Deep Learning implementations in Jupyter Notebooks
Implementing text classification algorithms using the 20 newsgroups datasets, with python
Notebook criado exclusivamente para aprendizado e está sendo atualizado.
Machine learning classification project using Python scripts and notebooks to classify the utility of random Github README files. ML implementation done using databricks notebook.
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