#自然语言处理#  🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

#自然语言处理#  TensorFlow code and pre-trained models for BERT

#计算机科学#  📚 A practical approach to machine learning to enable everyone to learn, explore and build.

#自然语言处理#  中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

#计算机科学#  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

#计算机科学#  💫 Industrial-strength Natural Language Processing (NLP) in Python

#计算机科学#  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.

#计算机科学#  Topic Modelling for Humans

#计算机科学#  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

#计算机科学#  An open-source NLP research library, built on PyTorch.

#计算机科学#  A very simple framework for state-of-the-art Natural Language Processing (NLP)

#计算机科学#  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

#计算机科学#  NLTK Source

#计算机科学#  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

#计算机科学#  Mapping a variable-length sentence to a fixed-length vector using BERT model

#自然语言处理#  Stanford CoreNLP: A Java suite of core NLP tools.

#计算机科学#  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。

#自然语言处理#  🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

#计算机科学#  Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

#计算机科学#  A collection of machine learning examples and tutorials.