Reverse Dependencies of sentence-transformers

The following projects have a declared dependency on sentence-transformers:

• Docs2KG — Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models
• docs2tops — Takes a list of documents and returns fully automated & labeled dictionaries where topic names are keys and semantically similar keywords from the documents as values
• docsrag — Generates evaluation dataset for fine-tuning LLM
• docta.ai — Docta.ai
• document-embedding — no summary
• document-qa-engine — Scientific Document Insight Q/A
• document-tracking — Algorithms to track documents and build news stories from them. It implements the Miranda et al. (2018) algorithm, as well as other alternatives and baselines to track documents.
• Documents-Classifier — A tool to classify images
• docuverse — State-of-the-art Retrieval/Search engine models, including ElasticSearch, ChromaDB, Milvus, and PrimeQA
• domain-matcher — Protect your models from out of scope domains. Focus on what matters.
• dotagent — no summary
• dotagent-dev — no summary
• dotams — no summary
• dotnext — no summary
• dp-PDF-Crawler — A custom Flask package with PDF processing tools
• dqc-toolkit — Data Quality Check for Machine Learning
• dr-doc-search — Search through a document using a chat interface
• dreamai — no summary
• dreamai-gen — no summary
• dreamai-pdf — Library based on DreamAI for parsing PDFs
• dreamai-ray — DreamAI platform leveraging RAY.
• dreamml — Framework for creating, running and validation of ML models on tabular data
• dreamsboard — no summary
• dria_agent — speedy, performant and small tool calling agents
• dsbot — Chatbot framework ...
• dutch-text-analytics — Dutch Text Analytics is a versatile toolkit designed to facilitate the exploration, execution, and validation of a diverse range of Natural Language Processing (NLP) tasks specifically tailored for the Dutch language. This repository provides a comprehensive set of tools, including code examples, scripts, and resources, to enhance and streamline your Dutch NLP projects.
• dverse-agent-python — A package for creating an Agent for the DVerse platform.
• dynamic-prompting — Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.
• e2eqavn — e2eqavn is end to end pipeline for question answering
• e2vec — no summary
• easy-embed-rafaelolal — Simple self-hosted semantic search API
• easy-text-clustering — User-friendly, low-code text clustering
• easy-transformers — Utils for dealing with transformers
• easyeditor — easyeditor - Editing Large Language Models
• easyrag-python — EasyRAG Python Package
• easySemanticSearch — UserFriendly implementation of Highly optimized advanced semantic search.
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• eknowledge — A Python package for executing graph generation from textual inputs.
• eland — Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
• elasticsearch-dsl — Python client for Elasticsearch
• elemelek — Elemelek is designed to sample subsets of instructions gathered/generated from various sources (and so with various quality/diversity) for LLM fine-tuning tasks.
• elsciRL — Applying the elsciRL architecture to Reinforcement Learning problems.
• emb3d — emb3d.co command line inteface to work with embeddings.
• embd — Unix embedding driver for software 2.0
• embed-clustering — Clustering using different non-parameteric models with the combination of word Embedding
• embed-text-reducer — A simple text simplification tool using advanced NLP techniques.
• embedchain — Simplest open source retrieval (RAG) framework
• embedchain-101deploy — Simplest open source retrieval (RAG) framework
• embedchain-one — Simplest open source retrieval (RAG) framework
• embedchaincrewai — Simplest open source retrieval (RAG) framework
• embeddb — Tiny semantic search DB in one file. Zero config. Instant prototyping.
• embedders — High-level API for creating sentence and token embeddings
• embedding-ada — Python Package to Train Embedding adapter on top of any Embedding models from Hugging face and OpenAI
• embedding-generator — A module for generating embeddings for batches of texts using a SentenceTransformer model.
• embedding-lenses — no summary
• embedding-utils — A library for text embeddings with caching.
• embeddingcache — Retrieve text embeddings, but cache them locally if we have already computed them.
• embeddings-explorer — A package for generating, exploring, and visualizing word embeddings graphs.
• embedin — A lightweight vector database
• embedprepro — no summary
• embestore — no summary
• embetter — Just a bunch of useful embeddings to get started quickly.
• emplode — Agent that performs action on your system by executing code.
• ensembleai — A Python package for AI-MultiModal MultiAgents methods and tools.
• EnvBert — Predicts classes of environmental due diligence
• esco-playground — no summary
• esco-skill-extractor — Extract ESCO skills from texts such as job descriptions or CVs
• essence-extractor — Unleash the power of content transformation with EssenceExtractor, a dynamic tool that turbocharges your workflow, turning YouTube videos into engaging, readable blog posts in a snap!
• etoile-generate — no summary
• eurelis-kb-framework — Framework to build and manage knowledge bases. Based on LangChain under the hood.
• eurelis-llmatoolkit — Framework to build and manage IA based applications. Based on Langchain under the hood.
• evadb — EvaDB AI-Relational Database System
• evidently — Open-source tools to analyze, monitor, and debug machine learning model in production.
• evoagent — An orchestration framework for evolving autonomous AI agents
• examinationrag — XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
• exlib — Toolkit for explainability by BrachioLab
• experimaestro-ir — Experimaestro common module for IR experiments
• explainitall — no summary
• exponential — A Python package with a built-in web application
• extralit — Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop.
• fabler — Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech.
• face-recognition-pkg — A package for face recognition in images and videos
• factory-sdk — factory SDK
• factscore — FactScore is an automatic evaluation metric for factual precision in long-form text generation. It uses large language models and retrieval to break down generations into atomic facts and then measure the correctness with respect to a knowledge source (like Wikipedia).
• FactualSceneGraph — A package for scene graph parsing and evaluation
• fair-sense-ai — no summary
• faiss-instant — This package contains toolkit for faiss-instant. It mainly helps to encode texts via Transformers and build Faiss indexes in an automatic way.
• faithfulness — A library to evaluate faithfulness (factual correctness or consistency) of abstractive summaries.
• fake-statement-detection — no summary
• falcon-evaluate — Falcon Evaluate is an open-source Python library designed to simplify the process of evaluating and validating open source LLM models such as llama2,mistral ,etc. This library aims to provide an easy-to-use toolkit for assessing the performance, bias, and general behavior of LLMs in various natural language understanding (NLU) tasks.
• farm-haystack — LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
• fasdr — Simple dense retrieval using SciPy, spaCy, and Sentence-Transformers
• fast-sentence-transformers — This repository contains code to run faster sentence-transformers. Simply, faster, sentence-transformers.
• fastagi — Private AutoGPT Robot - Your private task assistant with GPT!
• fastlexrank — A streamlined and approximate implementation of the LexRank algorithm for rapid text summarization.
• fastnn — A python library and framework for fast neural network computations.
• fastrag — An Efficient Retrieval Augmentation and Generation Framework for Intel Hardware.
• fastrepl — Fast Run-Eval-Polish Loop for LLM App
• fate-llm — Federated Learning for Large Language Models
• fatush — Simple utility tools for translating fastapi documentation