🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
-
Updated
May 21, 2024 - Python
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.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
《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。
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
TensorFlow code and pre-trained models for BERT
A collection of machine learning examples and tutorials.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Topic Modelling for Humans
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Natural Language Processing Tutorial for Deep Learning Researchers
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Oxford Deep NLP 2017 course
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
NLTK Source
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Created by Alan Turing