UCLA Networked & Embedded Systems Laboratory

UCLA Networked & Embedded Systems Laboratory's repositories

RadHAR

Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

Language:PythonBSD-3-Clause138 11 12

Cyclops-PRU

Programming framework for the Beaglebone black's Programmable Realtime Unit (PRU)

Language:JavaScript33 22 3

Robust-Deep-Learning-Pipeline

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Language:Jupyter NotebookBSD-3-Clause22 80

Time-in-State-RL

Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.

Language:PythonBSD-3-Clause22 70

sensegen

Language:Jupyter NotebookNOASSERTION18 19 4

locomote

LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing

Language:C++BSD-3-Clause6 60

Nurture-UbiTtention18

Language:Jupyter NotebookBSD-3-Clause6 90

Eagle_PTZ_Cameras

Eagle and EagleSim: Deep-RL for PTZ Cameras

Language:Jupyter Notebook5 30

DDFlow

DDFlow is a visualized programming interface for specifying declarative dataflow applications that dynamically deploy to a distributed and heterogeneous IoT cluster

Language:JavaScript3 80

DeepSQA

DeepSQA repo for the paper "DeepSQA: Understanding Sensor Data via Question Answering"

Language:Jupyter Notebook3 70

An intelligent underwater depth estimator exploiting COTS underwater pressure sensors. The filter takes in pressure and temperature from the sensor (and timestamps from an RTC) and uses an alpha-beta filter to calculate the depth of the object, with built-in thermocline, noise and timestamping error compensation.

Language:C++BSD-3-Clause2 60