embedding-models
There are 195 repositories under embedding-models topic.
Separius/awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
Hironsan/awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities.
ContextualAI/gritlm
Generative Representational Instruction Tuning
Sujit-O/pykg2vec
Python library for knowledge graph embedding and representation learning.
marl/openl3
OpenL3: Open-source deep audio and image embeddings
StarlightSearch/EmbedAnything
Production-ready Inference, Ingestion and Indexing built in Rust 🦀
Denis2054/RAG-Driven-Generative-AI
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
BBC-Esq/VectorDB-Plugin
Plugin that lets you ask questions about your documents including audio and video files.
mana-ysh/knowledge-graph-embeddings
Implementations of Embedding-based methods for Knowledge Base Completion tasks
CVxTz/image_search_engine
Image search engine
lgalke/vec4ir
Word Embeddings for Information Retrieval
spcl/ncc
Neural Code Comprehension: A Learnable Representation of Code Semantics
akutuzov/webvectors
Web-ify your word2vec: framework to serve distributional semantic models online
yusufhilmi/client-vector-search
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.
jgraving/selfsne
Self-Supervised Noise Embeddings (Self-SNE)
formath/tensorflow-predictor-cpp
tensorflow prediction using c++ api
mangopy/benchmarking-tool-retrieval
Official code for "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"
ALucek/QuicKB
Optimize Document Retrieval with Fine-Tuned KnowledgeBases
p768lwy3/torecsys
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
shobrook/weightgain
Train an adapter for any embedding model in under a minute
shamspias/langchain-chat
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
kaushalshetty/Positional-Encoding
Encoding position with the word embeddings.
ikergarcia1996/MetaVec
A monolingual and cross-lingual meta-embedding generation and evaluation framework
su-park/mteb_ko_leaderboard
한글 텍스트 임베딩 모델 리더보드
D2KLab/entity2vec
Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
HITsz-TMG/KaLM-Embedding
Code for KaLM-Embedding models
ART-Group-it/KERMIT
🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings
datquocnguyen/STransE
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
RoyZhengGao/edge2vec
Learning node representation using edge semantics
nsrinidhibhat/gradio_RAG
Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.
Glaciohound/VCML
PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
alisonbma/aiSFX
Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
worldbank/GISTEmbed
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings
databricks-industry-solutions/product-search
Semantic product search on Databricks
thustorage/PetPS
PetPS: Supporting Huge Embedding Models with Tiered Memory
Wang-Yu-Qing/UTPM
Code for paper: Learning to Build User-tag Profile in Recommendation System