A RAG application to search through the recent ML research without going through the Papers with Code manually.
-
Updated
Mar 8, 2024 - Python
A RAG application to search through the recent ML research without going through the Papers with Code manually.
Training Fashion product classification and visual similarity detection model using Pytorch Lightning
Example to help understand how to use hugging face sentance_transformers to encode searchable text into embeddings AND how to use cosine similarity search to determine similarity between a search prompt and the embeddings
GovQ&A Bot which can respond to admin-based questions. It can intelligently understand the query of user, if he/she makes small mistakes in sentences by applying similarity matrix.
Vajrayana AI Chat Web App (Python/Django/HTMX/OpenAI API). Create and converse with your own AI experts on Vajrayana Buddhism based on teachings from prominent Tibetan Tulkus and teachers.
designed to search for similar images using Google's image search functionality within a local folder.
Python implementation of the Vantage Point Tree index.
A snakemake workflow for iterative sequence profile searching using jackhmmer from the HMMer3 package.
Code for creating a PeARS fruit fly model in any language with a Wikipedia.
Extending the LIDIA non-local denoiser to (i) videos and (ii) standard resolutions
Legal case retrieval challenge. Solution based on similarity search and learning-to-rank methods
MediMate is a friendly health assistant chatbot designed to provide comprehensive health related support. From scheduling doctor appointments, extracting prescription details from PDFs, and offering emergency assistance, to dispensing health tips and home remedies, MediMate is your reliable and friendly companion for all your health-related needs.
This is a demo of how you can build an ml pipeline with isolated dockerized Jina microservices
Open-source vector database built to embedding similarity search
Entity matching on the DBLP-ACM dataset
DeepSearchLite: A minimalistic, efficient similarity search library. Customize feature extraction, dimensionality reduction, and item loading. Simple search initialization, indexing, and querying. Unlock your data's potential with ease.
A Python library for efficient Point-to-hyperplane nearest neighbours search (P2HNNS) using locality sensitive hashing (LSH) approaches
Add a description, image, and links to the similarity-search topic page so that developers can more easily learn about it.
To associate your repository with the similarity-search topic, visit your repo's landing page and select "manage topics."