tjiagom Goto Github PK

adni_phenotypes

Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank

awesome-network-analysis

A curated list of awesome network analysis resources.

cnslab_fmri

CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deepneuro

graph-neural-mapping

PyTorch implementation of the paper Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

gtex-transcriptome-modelling

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

interpreting-cognition-paper-2019

journalrebuttal_latex

A LaTeX class to format replies to the reviewers of journal paper submissions

neuro-newbies

novosparc

pdq_evaluation

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

probai-2023

Materials of the Nordic Probabilistic AI School 2023.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

quantised-bayesian-nets

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

safe-biomaker-challenge

SAFE - Safe Air For Everybody [Biomaker challenge 2019]

spatio-temporal-brain

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

stochastic-yolo

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts

thesis

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

this-does-not-look-like-that

Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"

this-looks-like-those_protoconcepts

tjiagom.github.io

tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS