Fox
Federated Knowledge Extraction Framework
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture_knowledgegraph | 2,776 | 3 years ago | 52 | gpl-3.0 | Python | |||||
| 农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策 | ||||||||||
| Deepke | 2,679 | 3 months ago | 111 | September 21, 2023 | 2 | mit | Python | |||
| An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations. | ||||||||||
| Information Extraction Chinese | 2,086 | a year ago | 118 | Python | ||||||
| Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取 | ||||||||||
| Bert4torch | 1,035 |  | 1 | 3 months ago | 35 | December 09, 2023 | 21 | mit | Python | |
| An elegent pytorch implement of transformers | ||||||||||
| Cogcomp Nlp | 448 | 2 years ago | 196 | other | Java | |||||
| CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more. | ||||||||||
| Ontogpt | 435 | 3 months ago | 63 | bsd-3-clause | Jupyter Notebook | |||||
| LLM-based ontological extraction tools, including SPIRES | ||||||||||
| Spert | 419 | 2 years ago | 3 | mit | Python | |||||
| PyTorch code for SpERT: Span-based Entity and Relation Transformer | ||||||||||
| Knowledgegraph | 376 | 7 months ago | Python | |||||||
| knowledge graph知识图谱,从零开始构建知识图谱 | ||||||||||
| Openue | 310 | 2 years ago | 17 | December 31, 2021 | mit | Python | ||||
| OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf) | ||||||||||
| Adaseq | 295 | 5 months ago | 11 | November 15, 2023 | 19 | apache-2.0 | Python | |||
| AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models | ||||||||||
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