NSP-BERT

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

? Industrial-strength Natural Language Processing (NLP) in Python

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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.

A High-Quality Real Time Upscaler for Anime Video

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

《李宏毅深度学习教程》（李宏毅老师推荐?，苹果书?），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases