Showing results for setting Vector Vector
GitHub Repo
https://github.com/aisamanra/office-tiles
aisamanra/office-tiles
Vector-graphic isometric tiles for an office setting
GitHub Repo
https://github.com/jonathanscholtes/Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store
jonathanscholtes/Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store
Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.
GitHub Repo
https://github.com/ericvaillancourt/LangChain_persistant_multi_vector
ericvaillancourt/LangChain_persistant_multi_vector
This repository showcases how to transition from InMemoryByteStore to PostgreSQL for persistent storage of multi-vectors in LangChain RAG models. It includes detailed examples and documentation for setting up and using PostgreSQL, enhancing data management and model reliability.
GitHub Repo
https://github.com/tangrams/tangram-vm
tangrams/tangram-vm
A Vagrant VM for setting up and running the Tangram vector-map library
GitHub Repo
https://github.com/HoagieT/Factor-Augmented-Vector-Autoregression
HoagieT/Factor-Augmented-Vector-Autoregression
An economic forecasting model based on Factor Augmented VAR (FAVAR). The FAVAR approach is superior than classic VAR as it incorporates a much larger data set and can be used in a big data setting.
GitHub Repo
https://github.com/Curious-Nikhil/Thrust-Vector-Control-Rocket
Curious-Nikhil/Thrust-Vector-Control-Rocket
A model thrust vector control system to maneuver a rocket with tuned PID settings.
GitHub Repo
https://github.com/mishana/vectorized2d
mishana/vectorized2d
This is a user-friendly wrapper to numpy arrays, for dealing with numerical problems in a vectorized fashion - in a 2D setting.
GitHub Repo
https://github.com/omer-hazan/Mahalanobis-Distance-Based-Open-Set-Recognition-in-RFFI-Settings-using-Learnable-Vector-Quantization
omer-hazan/Mahalanobis-Distance-Based-Open-Set-Recognition-in-RFFI-Settings-using-Learnable-Vector-Quantization
This repository presents a Mahalanobis distance-based open set recognition framework for radio frequency fingerprinting identification (RFFI). Leveraging learnable vector quantization, the model provides robust device classification and reliably detects unknown devices in real-world wireless environments.
GitHub Repo
https://github.com/kercre123/ddl-vector-http-app
kercre123/ddl-vector-http-app
Little Flask app that lets you change some settings in Vector.
GitHub Repo
https://github.com/FredMoreau/com.unity.shader-globals