Popular GitHub Repositories for Longitudinal

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

Self Driving Cars Longitudinal and Lateral Control Design

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

[MICCAI'2024, Oral] Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"

☂️ 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

Control system design for platoon of autonomous vehicles

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

Longitudinal Evaluation of LLMs via Data Compression

"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)

A longitudinal spontaneous speech (machine learning audio) dataset for dementia diagnosis.

Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms

Longitudinal and lateral controllers for autonomous vehicles. Features PID and enhanced Stanley controllers. Implementation is for CARLA simulator.

Federated time-dependent graph evolution prediction with missing timepoints.

A2C policies for autonomous vehicle longitudinal control in highway settings

Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data

Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.

Used a PID Controller along with a Stanley controller to create the Longitudinal and Lateral controls for a self driving car.

Autonomous driving simulator, longitudinal control for a traffic light enviroment, lateral control using preview point (also lateral control using clothoids), path planning using RRT algorithm

PatientFlow: Generate realistic synthetic longitudinal clinical data using Flow Matching and VAEs.

Pytorch implementation of 'Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis' accepted to MICCAI BrainLes Worshop 2022