Reinforced Machine Learning Example: Cartpole

Experimental code to read/write NumPy .NPY files in MATLAB

EMI mitigation for low field MRI

wavelet implicit neural representations

A community-maintained Python framework for creating mathematical animations.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Code for the manim-generated scenes used in 3blue1brown videos

Animation engine for explanatory math videos

A PyTorch-powered differentiable image reconstruction/optimization toolbox

Demo of minibatch algorithm for magnitude-least-squares pTx pulse design

Violin Plots for Matlab

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

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch implementation of tv loss

Binary release of the Philips raw data reader node.

PyTorch implementation of Sinusodial Representation networks (SIREN)

Self-supervised deep learning of quantitative MRI parameters using Rician noise model

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

🌊 Numerically solving and backpropagating through the wave equation

A framework for quantitative MRI from complex k-space or image data.

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Reinforcement learning from delayed observations via world models

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

Mastering Diverse Domains through World Models

Distributed Reinforcement Learning accelerated by Lightning Fabric

Design documents for DIY gradient amplifier

RF Pulse Design with SigPy.RF tutorial

Github action that builds docs using sphinx and places errors inline