johnlamaster Goto Github PK
Name: John LaMaster
Type: User
Company: Technical Univeristy Munich
Bio: I am a Biomedical Engineer currently working on my doctorate in Medical Imaging-Data Analysis using Deep Learning.
Location: Munich, Germany
Name: John LaMaster
Type: User
Company: Technical Univeristy Munich
Bio: I am a Biomedical Engineer currently working on my doctorate in Medical Imaging-Data Analysis using Deep Learning.
Location: Munich, Germany
PyTorch implementation of bayesian neural network.
CycleGANs with perception loss for clarifying rainy images. A pytorch framework.
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
PyTorch implementation of dropCluster
Framework for Easily Invertible Architectures
Mirror of the FSL-MRS gitlab repository
PyTorch implementation of Pay Attention to MLPs
Pytorch module for implementing global attention as described in my new paper
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.
Sample implementation of orchestrating PyTorch Lightning models via its CLI managed by guild.ai
PyTorch implementation of "Towards Impartial Multi-Task Learning"
OONI License
Draw MR Sequence Diagrams for LaTeX / MetaPost
Resources for learning the principles of magnetic resonance imaging (MRI)
Getting started with MRS: A digital collection of community-sourced educational materials
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.
MRSHub website repository
Pytorch implementation of a bidirectional spectral norm wrapper similar to the torch.nn.utils.spetral_norm
An Obsidian template of my lab diary for project management
All-in-one toolbox for processing of magnetic resonance spectroscopy data.
Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"
Entropy for Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
Reformer, the efficient Transformer, in Pytorch
Windows tray utility / filesystem watcher / launcher for Syncthing
CubicHermite interpolators written in PyTorch. These funcitons inherit nn.Module, are autograd-compatible, CUDA-compatible, and can be seamlessly incorporated in neural networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.