z-fabian

HUMUS-Net

HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction

MRAugment

MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

dirac-diffusion

Repository for DiracDiffusion

TransferLowerbounds

Source code for the NeurIPS2020 paper 'Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks'

barlowtwins

PyTorch implementation of Barlow Twins.

dino

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

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images

FedML

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

flash-diffusion

Official repository for FlashDiffusion.

HUMUS-Net-SM

lowfieldsim_py

Python implementation of usc-mrel/lowfieldsim low field MRI simulator with sample code on the fastMRI dataset.

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

simple_train

Simple training code for one hidden layer neural network in Tensorflow2.0.

z-fabian.github.io

Personal website built with the Minimal Mistakes Jekyll theme.