高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型
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Updated
Jul 8, 2020 - Python
高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
all kinds of baseline models for sentence similarity 句子对语义相似度模型
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.
HyperTag - Intuitive Knowledge Management WebApp & CLI for Humans using Deep Learning & Tags
Dict2vec is a framework to learn word embeddings using lexical dictionaries.
A Python library to chunk/group your texts based on semantic similarity.
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
NetworkX-based Python library for representing ontologies
QBQTC: 大规模搜索匹配数据集
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...
[ACM-CIKM] 2nd place solution at CIKM AnalytiCup 2018, a task for determining short text similarities.
A Natural Portuguese Language Benchmark (Napolab) for the evaluation of language models.
Phenotype comparison tools using semantic similarity.
Check if you have training samples in your test set
Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity
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