Contextualized Topic Models alternatives for AI agents.

Bringing BERT into modernity via both architecture changes and scaling

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Fast State-of-the-Art Static Embeddings

Persian NLP Toolkit

Solves basic Russian NLP tasks, API for lower level Natasha projects

Retrieval and Retrieval-augmented LLMs

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Data augmentation for NLP, presented at EMNLP 2019

100+ Chinese Word Vectors 上百种预训练中文词向量

Fuzzy string matching, grouping, and evaluation.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

A deep dive into embeddings starting from fundamentals