Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in puls…

Multimodal Exponentially Modified Gaussians with Optional Oscillation

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Upen2DTool: A Uniform PENalty Matlab tool for inversion of 2D NMR relaxation data. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711019302006.

A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions

A collection of full time roles in SWE, Quant, and PM for new grads.

General phase regularized MRI reconstruction using phase cycling

MH-MDGM for Bayesian inverse problems

NMRforMD is a python script for the calculation of NMR relaxation time T1 and T2 from molecular dynamics trajectory file.

Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Quantum assisted NMR inference

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

A memory-efficient implementation of DenseNets

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)

Fast, matrix-free isogeometric Galerkin method for Karhunen-Loeve approximation of random fields.

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and us…

Multi Exponential Relaxation Analysis toolbox for MATLAB

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian le…