Reverse Dependencies of faiss-gpu

The following projects have a declared dependency on faiss-gpu:

• bertserini-on-telegram — A library, based on PyTorch, that implements bertserini code.
• bootleg — Bootleg NED System
• colbert-ai — Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• colbert-ir — Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• ColorTransferLib — This library provides color and tyle transfer algorithms which were published in scientific papers. Additionall a set of IQA metrics are available.
• dntdb — Search Engine
• 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.
• 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.
• gedml — GeDML is an easy-to-use generalized deep metric learning library, which contains state-of-the-art deep metric learning algorithms and auxiliary modules to build end-to-end compute vision systems
• h2ogpt — no summary
• huixiangdou — Overcoming Group Chat Scenarios with LLM-based Technical Assistance
• hybrid-index — Easy to use hybrid index for semantic + keyword search
• KNNN — An implementation of KNNN algorithm
• libre-chat — Free and Open Source Large Language Model (LLM) chatbot web UI and API. Self-hosted, offline capable and easy to setup. Powered by LangChain and Llama 2.
• LibVQ — A Library For Dense Retrieval Oriented Vector Quantization
• marge-pytorch — Marge - Pytorch
• meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
• memorizing-transformers-pytorch — Memorizing Transformer - Pytorch
• MeUtils — description
• mmselfsup — OpenMMLab Self-Supervised Learning Toolbox and Benchmark
• mouseion — [RALM]: Introducing the Mouseion retrieval augmented language model builder
• MultiEL — Multilingual Entity Linking model by BELA model
• multilabel-knn — A lightweight toolbox for multilabel classification algorithms based on the k-nearest neighbors
• myla — A local implementation of OpenAI Assistants API: Myla stands for MY Local Assistant
• nimble-raccoon — A slim and fast implementation of the RACCOON clustering library.
• noise2sim — Noise2Sim suppresses both independent and correlated nosies through training a neural networkin a self-supervised learning manner.
• OpenBioSeq — Open Bio-sequence Toolbox for Supervision and Self-Supervision Learning
• openchatkit — OpenChatKit - a powerful, open-source base to create both specialized and general purpose chatbots
• openicl — An open source framework for in-context learning.
• openmixup — Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
• paralaser — no summary
• PLAID-X — Efficient and Effective Passage Search via Contextualized Late Interaction over BERT and XLM-RoBERTa
• powerful-benchmarker — A PyTorch library for benchmarking deep metric learning. It's powerful.
• primeqa — State-of-the-art Question Answering
• profit-pilot — ProfitPilot - AI Agents
• pytorch-metric-learning — The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
• pytorch-tabr — no summary
• recstudio — A modular, efficient, unified, and comprehensive recommendation library based on PyTorch.
• semanticmatcher — Semantic search of text and semanic matching of tables using FAISS
• similaritytoolbox — Toolbox
• STFD — STFD: Series of deep learning-based foundation models for spatial transcriptomic data analysis
• stopes — Large-Scale Translation Data Mining.
• supertriplets — Torch Multimodal Supervised Triplet Learning Toolbox
• textoir — TEXTOIR is the first high-quality Text Open Intent Recognition platform.
• tfsim-nightly — Metric Learning for Humans
• vissl — VISSL is an extensible, modular and scalable library for SOTA Self-Supervised Learning with images.
• wildlife-tools — Tools for using wildlife re-identification datasets.
• ws-benchmark — a weak supervision learning benchmark
• xmen — An extensible toolkit for Cross-lingual (x) Medical Entity Normalization.
• zrb-ollama — Zrb LLM plugin