Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
👑 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, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
100+ Chinese Word Vectors 上百种预训练中文词向量
Siamese and triplet networks with online pair/triplet mining in PyTorch
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
A curated list of community detection research papers with implementations.
LlamaIndex is a data framework for your LLM applications
Extensible, parallel implementations of t-SNE
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
The TypeScript library for building AI applications.
OpenL3: Open-source deep audio and image embeddings
Multi-Hop Logical Reasoning in Knowledge Graphs
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Add a description, image, and links to the embedding topic page so that developers can more easily learn about it.
To associate your repository with the embedding topic, visit your repo's landing page and select "manage topics."