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John LaMaster's Projects

deep-forest icon deep-forest

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

freia icon freia

Framework for Easily Invertible Architectures

fsl_mrs icon fsl_mrs

Mirror of the FSL-MRS gitlab repository

g-mlp icon g-mlp

PyTorch implementation of Pay Attention to MLPs

globalattention icon globalattention

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

graphormer icon 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.

mrs-educational-book icon mrs-educational-book

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

mrs-sim icon 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.

osprey icon osprey

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

pfgmpp icon pfgmpp

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

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-msssim icon pytorch-msssim

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

synctrayzor icon synctrayzor

Windows tray utility / filesystem watcher / launcher for Syncthing

torch.nn.cubichermiteinterpolation icon 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.

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