Topic: embedding-models Goto Github
Some thing interesting about embedding-models
Some thing interesting about embedding-models
embedding-models,Neural Network models to map mention of a text to corresponding entity in the Knowledge Base
User: agankur21
embedding-models,Web-ify your word2vec: framework to serve distributional semantic models online
User: akutuzov
Home Page: http://vectors.nlpl.eu/explore/embeddings/
embedding-models,Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
User: alisonbma
Home Page: https://aisfx.readthedocs.io/en/latest
embedding-models,🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings
Organization: art-group-it
embedding-models,Ready to run PyTorch implementation of Data2Vec 2.0: Highly efficient self-supervised representation learning for vision, speech and text.
User: ashutosh1919
Home Page: https://blog.paperspace.com/data2vec/
embedding-models,GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings
User: avsolatorio
embedding-models,Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!
User: bbc-esq
embedding-models,Vision-lanugage model example code.
User: bnabis93
embedding-models,Place2Vec ground truth dataset
User: boyanstko
embedding-models,Piecewise Flat Embedding for Image Segmentation
User: chaoweifang
embedding-models,Generative Representational Instruction Tuning
Organization: contextualai
Home Page: https://arxiv.org/abs/2402.09906
embedding-models,Image search engine
User: cvxtz
embedding-models,Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
Organization: d2klab
embedding-models,Semantic product search on Databricks
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/large-language-models-retail
embedding-models,STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
User: datquocnguyen
embedding-models,This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.
User: easonlai
embedding-models,Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks
User: fabiangroeger96
embedding-models,tensorflow prediction using c++ api
User: formath
embedding-models,PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
User: glaciohound
Home Page: http://vcml.csail.mit.edu
embedding-models,A curated list of awesome embedding models tutorials, projects and communities.
User: hironsan
embedding-models,MNIST Embedding Visualisation using Tensorflow Projector, link blog:
User: huyhoang17
embedding-models,A monolingual and cross-lingual meta-embedding generation and evaluation framework
User: ikergarcia1996
embedding-models,The project is related to the development of labs for the ITMO Speaker Recognition Course.
User: itmo-mbss-lab
embedding-models,Self-Supervised Noise Embeddings (Self-SNE)
User: jgraving
embedding-models,Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training
User: karolzak
embedding-models,Encoding position with the word embeddings.
User: kaushalshetty
embedding-models,⚡️Fast persistent storage of multiple document embeddings and their metadata into Pinecone for RAG.
User: kevkibe
embedding-models,Word Embeddings for Information Retrieval
User: lgalke
embedding-models,A dating (match-making) app for serious daters with embeddings and vector database.
User: madeyexz
embedding-models,Implementations of Embedding-based methods for Knowledge Base Completion tasks
User: mana-ysh
embedding-models,Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"
User: mana-ysh
embedding-models,OpenL3: Open-source deep audio and image embeddings
Organization: marl
embedding-models,C++ and Python library for Polarizable Embedding
User: maxscheurer
embedding-models,A tool that converts long audio files into a thorough, summarized report. Leverages OpenAI and its API (ChatGPT backend), Langchain for text processing, and Pinecone for vector database facilitation.
User: natelalor
embedding-models,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.
User: nsrinidhibhat
embedding-models,长文本相似度模型
Organization: octopusmind
embedding-models,
User: p16i
embedding-models,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.
User: p768lwy3
Home Page: https://pypi.org/project/torecsys/
embedding-models,Simple, lightweight transformers in Fortran
User: rbitr
embedding-models,Learning node representation using edge semantics
User: royzhenggao
embedding-models, A curated list of pretrained sentence and word embedding models
User: separius
embedding-models,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.
User: shamspias
embedding-models,Neural Code Comprehension: A Learnable Representation of Code Semantics
Organization: spcl
embedding-models,Python library for knowledge graph embedding and representation learning.
User: sujit-o
embedding-models,PetPS: Supporting Huge Embedding Models with Tiered Memory
Organization: thustorage
embedding-models,DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model
User: touhi99
embedding-models,Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).
Organization: uwnetlab
embedding-models,Code for paper: Learning to Build User-tag Profile in Recommendation System
User: wang-yu-qing
embedding-models,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.
User: yusufhilmi
Home Page: https://www.npmjs.com/package/client-vector-search
embedding-models,Unstract's interface to LLMs, Embeddings and VectorDBs.
Organization: zipstack
Home Page: https://unstract.com
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