DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
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Updated
Mar 2, 2023 - Python
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.
Train Models Contrastively in Pytorch
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Open Source Text Embedding Models with OpenAI Compatible API
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
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 other VectorDBs.
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 recommend products based on cosine similarity, but with better results. You can find the updated repo here.
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
A lightweight Dolly-v2 powered assistant that can answer domain-specific questions and keep a conversation. It's expert systems in the era of LLMs.
Dive into the world of text embeddings. This course will guide you through leveraging text embeddings to enhance various natural language processing (NLP) tasks.
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
A news insight synthesizer designed to cut the noise out of media consumption (using LLMs & text-embeddings)
Flask API for generating text embeddings using OpenAI or sentence_transformers
Uses NLP & LSTM to detect insincere Quora Questions
A text embedding viewer for the Jupyter environment
KRLawGPT : Generative Pre-trained Transformer for producing Korean Legal Text
Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
A Python-based search engine for OpenAI's ChatGPT conversation history, enabling efficient semantic search and interactive engagement with archived chats using text embeddings
Learn about text similarity measures & text embedding methods.
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