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The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.
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
? Industrial-strength Natural Language Processing (NLP) in Python
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
Open-source no-code web data extraction platform. Turn websites to APIs & spreadsheets with no-code robots in minutes.
? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.