mselimata

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

awesome-public-datasets

A topic-centric list of HQ open datasets.

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

torchio

Medical imaging toolkit for deep learning

hlb-CIFAR10

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

ANTs

Advanced Normalization Tools (ANTs)

dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

xplique

👋 Xplique is a Neural Networks Explainability Toolbox

ANTsPy

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

FastSurfer

PyTorch implementation of FastSurferCNN

glasses

High-quality Neural Networks for Computer Vision 😎

fMRI-reconstruction-NSD

fMRI-to-image reconstruction on the NSD dataset.

SLaK

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

clinica

Software platform for clinical neuroimaging studies

BrainSpace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

nobrainer

A framework for developing neural network models for 3D image processing.

classification_models_3D

Set of models for classifcation of 3D volumes

Depthwise-Separable-Convolution_Pytorch

Implementation of Depthwise Separable Convolution (pytorch)

ConvNext

Implementing ConvNext in PyTorch

TransSeg

Official Code Release for "Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation" (ML4H 2022)

LEAR

Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model"

Deep_Recurrent_AD

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

workshop_weizmann

The repository for the "MRI analysis in Python using Nipype, Nilearn and more” at The Azrieli National Institute for Human Brain Imaging and Research.

narps_open_pipelines

A codebase reproducing the 70 pipelines of the NARPS study (Botvinik-Nezer et al., 2020) shared as an open resource for the community.

bidsme

Flexible bidsificator for multimodal datasets

LEAR

Tensorflow implementation of "Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model" [TPAMI 2022]

DARQ

Deep learning of quality control for stereotaxic registration of human brain MRI

exercises-ML

READi-Dem

An ML-powered, web-interface tool for Robust, Efficient, Affordable DIagnosis of Dementia (READi-Dem)