bart-base-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。

Deep Learning for humans

Learn how to design, develop, deploy and iterate on production-grade ML applications.

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 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

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

? A ranked list of awesome machine learning Python libraries. Updated weekly.

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。

:book: A curated list of resources dedicated to Natural Language Processing (NLP)