#大语言模型#Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
#自然语言处理#DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
#计算机科学#Train Models Contrastively in Pytorch
#自然语言处理#🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
#向量搜索引擎#A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and ...
Open Source Text Embedding Models with OpenAI Compatible API
#大语言模型#Go module for fetching embeddings from embeddings providers
#自然语言处理#Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
A text embedding viewer for the Jupyter environment
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
#自然语言处理#Topic Embedding, Text Generation and Modeling using diffusion
#自然语言处理#Flask API for generating text embeddings using OpenAI or sentence_transformers
Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recomme...
KRLawGPT : Generative Pre-trained Transformer for producing Korean Legal Text
#自然语言处理#Semantic similarity via text embeddings in Elixir - powered by SentenceTransformers by SBert.net
#搜索#Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML,...
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training