Popular GitHub Repositories for Measurements

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

ECG classification programs based on ML/DL methods

Lidar Obstacle Detection

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. (e.g. MBTI Measurement Agent)

Exploring the simple sentence similarity measurements using word embeddings

☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements

An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.

Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

A random forest classifier to predict the age-group and gender of a speaker from voice measurements.

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.

SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud top temperature, (4) a multilayer flag and (5) a cloud base height from SEVIRI measurements using its full spectral capabilities. Also to be used as external module with ORAC (https://github.com/ORAC-CC/orac).

Multi-Modal action recognition for skeleton sequences, inertial measurements, motion capturing data and Wi-Fi CSI fingerprints.

A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic field measurements.

State estimation is a vital part of any self-driving car software stack, which relies on the sensor measurements consisting of an IMU, a GNSS receiver, and a LiDAR to provide an accurate state estimation. However, since all of the sensors provide measurements of varying reliability and at different rates and reference frames, spatial and temporal multisensor calibration is required.

A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.

GPU and CPU measurements for ML inference workloads for power, latency and throughput