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3d-cyclegan-pytorch-medimaging

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

3d-pix2pix-cyclegan

3dbraingen

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

3dstylegan

3D StyleGAN2 for Medical Images

alcfbeginnersguide

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

band

Code repo for Attend and Decode: 4D fMRI Task State Decoding Using Attention Models, https://arxiv.org/abs/2004.05234

bevt

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

br-net

brain-surf-cnn

BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity

brainlm

brainnetworktransformer

Reproduction of the NeurIPS 2022 paper Brain Network Transformer.

chinchilla

A toolkit for scaling law research ⚖

cnslab_fmri

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

conntask

course-v3

The 3rd edition of course.fast.ai

course20

Deep Learning for Coders, 2020, the website

data-seminars

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffuseit

Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation"

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

eeg-gan

f-anogan

Implementation of f-AnoGAN with PyTorch

fastai-deep-learning-from-the-foundations-twiml-study-group

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

fastbook

The fastai book, published as Jupyter Notebooks

fc-net

The official pytorch implementation of the MICCAI 2021 paper "Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition"

fmri-foundation-model

Self-supervised fMRI foundation model

fmri-reconstruction-nsd

fMRI-to-image reconstruction on the NSD dataset.