johndpope Goto Github PK

instrument-recognition

insurepalapp_poc

POC InsurePal web app

integralimage-ios-metal

Computing the Integral Image using Metal

intelligent-code-completion

intellimerge-ui

The intuitive UI for IntelliMerge, where the developers can merge code and resolve conflicts.

intent_classifier

interactive-fiction-editor

(unfinished) A tool to assist in the creation of dialog trees for interactive fiction (things lie Choose Your Own Adventure books or visual novels)

interactive-narrator

Visualize your user stories with Interactive Narrator

interactive-spectrogram-inpainting

Implementation of the framework described in the paper Spectrogram Inpainting for Interactive Generation of Instrument Sounds published at the 2020 Joint Conference on AI Music Creativity.

intercombatsystem

Just some test code for doing combat between two objects on a map, taking into account how they're facing each other and other stats like defense etc. Intended to eventually make its way into interconnectgame.

interfacegan

[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

interfacegan_stylegan

Interpreting the Latent Space of StyleGAN for Semantic Face Editing

interior

interpose

Automatically generate interposing C++ wrappers for C APIs

interpose-1

library interposition for OSX

interruption

Interruption Junction

interspeech2021_mtda

the code for interspeech2021 submission

interview-skeleton

Public sample code for a variety of languages for the API interview coding exercise

interview-training-system

A project for the course "Building an intelligent dialog system"

intotheblack

My first Unity project

intra_exchange_bot

intrigued

intrinsic-imaging

intrinsics-network

Code for the paper "Self-Supervised Intrinsic Image Decomposition"

intro-excercises

Excercises as an intro to the python language

intro_to_ml_lecture_note

intune

Capstone2020

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.

investfeedcrowdsaleaudit

InvestFeed Crowdsale Audit

investment-app