🎒 > 🔩 Hacking Real-time AI workflows for Surgery 🔧

Harmonization of multi-site imaging data with ComBat (Python)

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a m…

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

Example download scripts for the OASIS3 project

❗ This is a read-only mirror of the CRAN R package repository. bootcluster — Bootstrapping Estimates of Clustering Stability

🍪 Clustering stability analysis in Python with a scikit-learn compatible API.

A simple, command-line image render and snaphot tool for NIFTI files

B02 知识管理拓荒营-投资理财

Machine Learning-based Prediction of Cognitive Outcomes in de novo Parkinson's Disease

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)

Robust Parametric Disease Progression Modeling

An interpretable progression model for high-dimensional neuroimaging data.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research top…

An index of algorithms for learning causality with data

Code for the Hidden Markov Model Tutorial Series

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Tools for white matter hyperintensity segmentation

A playbook for systematically maximizing the performance of deep learning models.

Final Project repository for our Alzheimer's project.

This is provisional codes for a conference paper titled "Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models…

Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox

Cosyne workshop tutorial 2022

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are…

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.