Reverse Dependencies of sentence-transformers

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

• fed-rag — A framework for federated fine-tuning of retrieval-augmented generation (RAG) systems.
• fendi — An auto py builder for ChatBots on top of streamlit app's - LLaMa's powered APS
• few-shot-clustering — A library for efficient semi-supervised clustering with large language models.
• few-shot-learning — Easy few shot learning for NLP
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• FeynmanAi — A command-line tool for using RAG model on Local documents
• fh-llm-client — A client to provide LLM responses for FutureHouse applications.
• fhlmi — A client to provide LLM responses for FutureHouse applications.
• fibber — Fibber is a benchmarking suite for adversarial attacks on text classification.
• fiddler-auditor — Auditing large language models made easy.
• fileseek — FileSeek – AI-Powered Local Document Archive&Search
• flame-core — A lightweight asynchronous task flow framework
• FLAML — A fast library for automated machine learning and tuning
• flashrag-dev — A library for efficient Retrieval-Augmented Generation research
• flexible-semantic-kernel — flexible-semantic-kernel
• flexnlp — no summary
• flexrag — A RAG Framework for Information Retrieval and Generation.
• flock-core — Declarative LLM Orchestration at Scale
• fmbench — Benchmark performance of **any Foundation Model (FM)** deployed on **any AWS Generative AI service**, be it **Amazon SageMaker**, **Amazon Bedrock**, **Amazon EKS**, or **Amazon EC2**. The FMs could be deployed on these platforms either directly through `FMbench`, or, if they are already deployed then also they could be benchmarked through the **Bring your own endpoint** mode supported by `FMBench`.
• fmcore — A specialized toolkit for scaling experimental research with Foundation Models.
• fmtr.tools — Collection of high-level tools to simplify everyday development tasks, with a focus on AI/ML
• forcolate — A library for semantic search in local environment
• formed — ⚙️ Flexible framework for organizing data/experiments/workflows
• FranKGraphBench — pip install package for frankgraphbench.
• frenchnlp — State of the art toolchain for natural language processing in French
• friday-cli — AI-powered testing agent
• frogbase — FrogBase simplifies the download-transcribe-embed-index workflow for multi-media content. It does so by linking content from various platforms with speech-to-text models, image & text encoders and embedding stores.
• frony-document-processor — no summary
• frye — LLM toolkit
• fusionsent — FusionSent: A Fusion-Based Multi-Task Sentence Embedding Model
• future-shot — FutureShot: Few-Shot Learning for high-dimensional classification problems
• futureframe — Accelerate your data science workflow from months to days with foundation models for tabular data.
• FuzzTypes — FuzzTypes is a Pydantic extension for annotating autocorrecting fields
• fvdb — Thin porcelain around the FAISS vector database.
• gallama — An opinionated Llama Server engine with a focus on agentic tasks
• gate-drift — Data drift detection tool for machine learning pipelines.
• gca-analyzer — A package for Group Conversation Analysis with improved text processing and visualization
• genai_stack — End-to-End Secure & Private Generative AI for All
• genaibook — Utilities for 'Hands-On Generative AI with Transformers and Diffusion Models' (upcoming)
• genegist — Create summararies of groups of genes.
• genetic-prompt-lab — GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
• genienlp — no summary
• genius-chatbot — Use huggingface models to create an intelligent and scalable chatbot
• geniusrise-audio — audio bolts for geniusrise
• geniusrise-text — Text bolts for geniusrise
• geniusrise-vision — Huggingface bolts for geniusrise
• geoparser — A customizable geoparsing library for unstructured text
• geoverifysm — Validate Euclidea Levels without GUI. Note this is not the most reliable way, and might contain errors for some level packs.
• gfmrag — no summary
• gft-cpu — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• ggd-py-utils — A collection of utility functions for my projects.
• ggfm — no summary
• ghagent — A GitHub Explorer
• ghexplorer — A GitHub Explorer
• gigachain-huggingface — An integration package connecting Hugging Face and GigaChain
• git-semantic-similarity — Search git commit messages by semantic similarity with embeddings from sentence-transformers.
• glam4cm — Graph Neural Networks and Language Models Trainer (Separate or combined) for conceptual models
• glayout — A human language to analog layout API with support for different technologies.
• gnn-lis-kor — GNN HW
• goodai-ltm — A text memory meant to be used with conversational language models.
• google-review-analysis — A python library for negative google review analysis.
• gpt-readme-reader — A utility to extract setup commands from a GitHub repository
• gpt3discord — A Chat GPT Discord bot
• gptdb — GPT-DB is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure.
• gptstonks-api — GPTStonks API allows interacting with financial data sources using natural language.
• gptstonks-wrappers — Useful wrappers around common AI tools: LangChain, LlamaIndex, etc.
• gptswarm — GPTSwarm: Language Agents as Optimizable Graphs
• grad-info-opt — Implementation of Gradient Information Optimization for efficient and scalable training data selection
• grag — A simple package for implementing RAG
• gramps-webapi — A RESTful web API for the Gramps genealogical database.
• graph-vect-rag — A Python package for hybrid Graph + Vector RAG using completely Open Source tools
• GraphClusterer — A python package for clustering and summarizing graphs of texts.
• graphfleet — A graph-based knowledge management and query system
• graphistry — A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration
• graphragzen — no summary
• graphreader — Implementation of the GraphReader Paper
• GraphRetrieval — Graph retrieval
• GRLMerger — GRL Merger is a package that integrates two GRL models written in TGRL syntax into one GRL model.
• gts-engine — git_engine development suite: a powerful NLU training system
• guardrail-ml — Monitor LLMs with custom metrics to scale with confidence
• h2ogpt — no summary
• h4rm3l — no summary
• hackathon-evaluation-rag — no summary
• haistings — AI-powered CVE prioritizer
• hammadml — ML
• hammadml-gpu — Hammad Python ~ Machine Learning
• hanzo-dev — Dev is AI pair programming in your terminal
• hanzo-developer — Dev is AI pair programming in your terminal
• happy-learning — Toolbox for reinforced developing of machine learning models (as proof-of-concept)
• harmonydata — Harmony Tool for Retrospective Data Harmonisation
• hashAI — A powerful SDK for building AI assistants with RAG capabilities.
• Hazard-Detection — Detect hazards in data
• hd2neo4j — yet another tool for transforming heterogeneous data in to knowledge graph
• hexamind — Hexamind library to implement RAG solutions
• hf-hub-ctranslate2 — Connecting Transfromers on HuggingfaceHub with CTranslate2.
• hf-model-s — model-s served from hf spaces
• hierarchy-transformers — Language models as hierarchy encoders.
• hinteval — A Python framework designed for both generating and evaluating hints.
• hive-cli — no summary
• homepage2vec — Language-Agnostic Website Embedding and Classification