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mrs_mri_libs

Contains libraries for reading, writing and analysing Magnetic Resonance Spectroscopy and Imaging (MRS & MRI) data.

mrtriage

msda

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

mtl-using-uncertainty-to-weigh-losses

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multi-task-physics-informed-neural-networks

multifidelity-deeponet

Multifidelity DeepONet

multiscalepinns

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

multivariate-time-series-forecast-using-seq2seq-in-tensorflow

multivariate_newton_method

I could not find a function for optimizing a function that took a vector input and returned a scalar value in scipy.optimize, so I have attempted to create a class that does this.

my-neural-fields

mythes-tr

Türkçe Eşanlamlı Kelimeler Sözlüğü (Turkish Thesaurus)

nah-khcnn

Repository of "A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography"

naivebayesclassifier

JAVA implementation of Multinomial Naive Bayes Text Classifier.

napde-deeponet

ndscheduler

A flexible python library for building your own cron-like system, with REST APIs and a Web UI.

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

neural-ode-experiments

This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neural_ode_fitting

comparing loss functions in Julia

neural_tangent_kernel

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

neuralsolvers

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

neuraltangentkernel-papers

Neural Tangent Kernel Papers

neuralwarp

A supporting website for the paper "NeuralWarp: Time-Series Similarity with Warping Networks"

neurodiffeq-playground

Playground repo for solving differential equations using the neurodiffeq package

neuroevolution-of-pinns