A collection of notebooks for Natural Language Processing from NLP Town
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Updated
Jul 16, 2024 - 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.
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。
《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。
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
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. 🛫☑️
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
《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