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hybrid_cnn-knn_for_classification

This is a matlab-code implementation of cascaded Convolution Neural Network and K-Nearest Neighbor for real time face recognition using mobile camera.

hydra

Minimalistic distributed computing framework for map-reducable problems.

icssummativejackmaxwell

Herbivore and Carnivore neural network creature simulation

icy-2018

ICY: an interface between COMSOL Multiphysics and YADE

idlm_ben

This project is for the problem of inverse mapping for meta-material design using deep learning

ilovepdf-php

iLovePDF Rest Api - PHP Library (https://developer.ilovepdf.com)

imicrobit

BBC Micro:Bit Playgrounds

ineuos

iNeuOS Industrial Internet

inliner

Node utility to inline images, CSS and JavaScript for a web page - useful for mobile sites

interpretable-ml-book

Book about interpretable machine learning

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

intuitive-guide-to-maxwells-equations

An intuitive and visual guide to understanding Maxwell's equations.

inverse-scattering

All code related to research about inverse electromagnetic scattering problems

inverse-scattering-problem

Code for simulating the inverse scattering problem in the context of indoor imaging using Wi-Fi waves

inverse_scattering

light weight code for solving the inverse scattering problem via optimization based methods.

inversed-scattering

Recover the potential in the Helmholtz equation from the scattering data

inverseproblem

This function inverts ill conditioned matrices using an iterative solution to the Tikhonov regularization problem. It takes three arguments: A, the matrix, l, lambda the contraint, and k, the number of iterations. In this iterative Tikhonov regularization model, also known as ridge regression, I introduce an iterative solution to the ill-posed linear inverse problem. My approach to the inverse problem can be viewed as a generalization of existing methods, where, in addition to the regularization parameter, I introduce a second regularization parameter as the number if iterations. This work is motivated by the fact that the least squares solution does not give a reasonable result when the data matrix is singular or ill-conditioned. Test cases show that the approach is either better or significantly better than existing L2 regularization methods.

inversetransportnetworks

Towards Learning-based Inverse Subsurface Scattering

invertible-neural-networks

Tutorials for invertible neural networks.

invmed

Simple inverse medium problem for acoustic scattering

irtools

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

is_tib

GUI for Inverse scattering based on the Toeplitz Inner Bordering method

iturraran-viveros-2013

Simulation of sonic waves along a borehole in a heterogeneous formation: Accelerating 2.5-D finite differences using [Py]OpenCL, Ursula Iturraran-Viverosa, Miguel Molerob

iyidengde.github.io

juice

Juice inlines CSS stylesheets into your HTML source.

karaoulis-2013

IP4DI: A software for time-lapse 2D/3D DC-resistivity and induced polarization tomography

keras-tuner

Hyperparameter tuning for humans

kivy

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

knowledge-distillation-papers

knowledge distillation papers

ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.