Stars
A Rust DSP and machine-learning toolbox for detecting drones from sound.
Advanced radar-based classification system for detecting and distinguishing UAVs, birds, and RC aircraft using SVMD signal decomposition and deep learning feature extraction.
Multi-band passive drone detector on ESP32 | Мультидиапазонный детектор БПЛА | 900MHz/2.4GHz/5.8GHz RF scanner with countermeasures
Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
Multi-protocol SDR signal detection and triangulation system for ATAK. Detects radio emissions from distributed receivers using RTL-SDR and HackRF.
● batear — Ultra-low-cost, off-grid acoustic drone detector. Edge computing. Protect your airspace with a microphone.
[ICRA-2024] MMAUD: A comprehensive multi-modal anti-UAV dataset for modern miniature drone threats
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
A curated list of radar datasets, detection, tracking and fusion
OpenQMS.net is a lightweight, scalable and cloud-native Quality Management System (QMS) application.
The Bloomberg Terminal for CLI Agents, its Maestro Baby!
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Agent skill that removes signs of AI-generated writing from text
GUI for spikeinterface objects
Python package to handle probe layout, geometry and wiring to device.
A Python-based module for creating flexible and robust spike sorting pipelines.
Web interface for running graphs and monitoring logs in BRAND
Ultra-low latency signal processing library for neural data (work in progress)
Code for the paper "A high-performance speech neuroprosthesis"
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…
Backend for Real-time Asynchronous Neural Decoding (BRAND)
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
A high-throughput Solana Geyser plugin for real-time blockchain data ingestion using ClickHouse as its columnar data store
Deep learning for 12-lead ECG interpretation