Popular GitHub Repositories for Longitudinal Studies

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ?25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ? Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

A collection of awesome text-to-image generation studies.

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

A Python Series of tutorials aimed at learning Artificial Intelligence concepts. This series of tutorials start from the basics of Python and builds on top of it. We will cover three full-fledged case studies to practice AI Implementation of Python with real data and solve real-world problems.

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

Distribution transparent Machine Learning experiments on Apache Spark

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

Website for tutorial "Generating Music with GANs: An Overview and Case Studies"

☂️ 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

It shows case studies of the LangGraph agent.

Control system design for platoon of autonomous vehicles

This repository provide the studies on the security of language models for code (CodeLMs).

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

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

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.