A collection of notebooks for Natural Language Processing from NLP Town
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Updated
May 23, 2022 - Jupyter Notebook
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
A collection of notebooks for Natural Language Processing from NLP Town
Machine Learning notebooks for refreshing concepts.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Jupyter Notebooks with Deep Learning Tutorials
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。
Python tutorials as Jupyter Notebooks for NLP, ML, AI
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
AI projects in python, mostly Jupyter notebooks.
🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.
📓 Notes and summaries of various ML, Computer Vision & NLP papers.
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
Notebooks for the Seattle PyData 2017 talk on Scattertext
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Deep learning research implemented on notebooks using PyTorch.
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
An introduction to Natural Language processing using NLTK with python.
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
A collection of natural language processing notebooks.
Created by Alan Turing