JohnLaMaster

batchshaping

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

cone_recon

CycleGANwithPerceptionLoss

CycleGANs with perception loss for clarifying rainy images. A pytorch framework.

Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

dropCluster

PyTorch implementation of dropCluster

FrEIA

Framework for Easily Invertible Architectures

Impartial-Multi-Task-Learning

PyTorch implementation of "Towards Impartial Multi-Task Learning"

MRS-Sim

MRS-Sim is an open-source framework for simulating in vivo-like MRS data. This work aims to combine the most current knowledge and start-of-art techniques to simulate data that is as real as possible. This model makes use of several novel simulation techniques and will soon incorporate experimental results to further improve the clinical relevance.

torch.nn.CubicHermiteInterpolation

CubicHermite interpolators written in PyTorch. These funcitons inherit nn.Module, are autograd-compatible, CUDA-compatible, and can be seamlessly incorporated in neural networks.

JohnLaMaster/Impartial-Multi-Task-Learning

PyTorch implementation of "Towards Impartial Multi-Task Learning"

JohnLaMaster/bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

JohnLaMaster/dropCluster

PyTorch implementation of dropCluster

JohnLaMaster/MRS-Sim

MRS-Sim is an open-source framework for simulating in vivo-like MRS data. This work aims to combine the most current knowledge and start-of-art techniques to simulate data that is as real as possible. This model makes use of several novel simulation techniques and will soon incorporate experimental results to further improve the clinical relevance.

JohnLaMaster/torch.nn.CubicHermiteInterpolation

CubicHermite interpolators written in PyTorch. These funcitons inherit nn.Module, are autograd-compatible, CUDA-compatible, and can be seamlessly incorporated in neural networks.

JohnLaMaster/batchshaping

JohnLaMaster/cone_recon

JohnLaMaster/Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

JohnLaMaster/FrEIA

Framework for Easily Invertible Architectures

JohnLaMaster/fsl_mrs

Mirror of the FSL-MRS gitlab repository

JohnLaMaster/g-mlp

PyTorch implementation of Pay Attention to MLPs

JohnLaMaster/GlobalAttention

Pytorch module for implementing global attention as described in my new paper

JohnLaMaster/license

OONI License

JohnLaMaster/ObsidianLabBookTemplate

An Obsidian template of my lab diary for project management

JohnLaMaster/osprey

All-in-one toolbox for processing of magnetic resonance spectroscopy data.

JohnLaMaster/gon-pytorch

JohnLaMaster/Graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

JohnLaMaster/Guild.ai-x-PyTorch-Lightning

Sample implementation of orchestrating PyTorch Lightning models via its CLI managed by guild.ai

JohnLaMaster/higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

JohnLaMaster/lipid_and_water

Lipid and water removal review in 1H MRS/MRSI mainly in the brain

JohnLaMaster/MRI-education-resources

Resources for learning the principles of magnetic resonance imaging (MRI)

JohnLaMaster/mrs-educational-book

Getting started with MRS: A digital collection of community-sourced educational materials

JohnLaMaster/mrshub-website

MRSHub website repository

JohnLaMaster/pfgmpp

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

JohnLaMaster/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

JohnLaMaster/pytorch-msssim

PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

JohnLaMaster/reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

JohnLaMaster/TrajectoryDesign

JohnLaMaster/Versatile-NP

JohnLaMaster/vision

Datasets, Transforms and Models specific to Computer Vision