Eda Nlp alternatives for AI agents.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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

Bringing BERT into modernity via both architecture changes and scaling

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Retrieval and Retrieval-augmented LLMs

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

100+ Chinese Word Vectors 上百种预训练中文词向量

💡 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.

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

A blazing fast inference solution for text embeddings models