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yungmichael's Projects

maxim-pytorch icon maxim-pytorch

[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

mellite icon mellite

An environment for creating experimental computer-based music and sound art. Issue tracker: https://codeberg.org/sciss/Mellite/issues

minis icon minis

Collection of handy little tools I use

miscellaneous icon miscellaneous

This repository contains stuff which would be helpful for jailbroken iOS development.

mitmengine icon mitmengine

A MITM (monster-in-the-middle) detection tool. Used to build MALCOLM:

mobile-security-framework-mobsf icon mobile-security-framework-mobsf

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

my-dash icon my-dash

🔢 A developer friendly dashboard for monitoring your self-hosted services with a clean and modern UI.

myipsw icon myipsw

All Apple firmware using ipsw.me API with different design

nef-plugin icon nef-plugin

🔌 an Xcode extension to use nef features easily

netdata icon netdata

Real-time performance monitoring, done right! https://www.netdata.cloud

newterm icon newterm

A powerful terminal app for iOS; a continuation of the Mobile Terminal project

nimbus icon nimbus

Repo for nimbus - a tool for controling jailbroken iDevices from SSH. Activator needed to work properly.

node-applesign icon node-applesign

NodeJS module and commandline utility for re-signing iOS applications (IPA files).

node-unifi icon node-unifi

NodeJS class for querying/controlling a UniFi-Controller (www.ubnt.com)

noise-filtering icon noise-filtering

Filtering unwanted background noise from .wav files using different algorithms (Moving Average, Frequency Domain Filter and Spectral Subtraction)

noise2noise-audio_denoising_without_clean_training_data icon noise2noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising

noisecancellationcarnaticmusic icon noisecancellationcarnaticmusic

Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian white noise. The noise reduction problem has been formulated as a filtering problem which is efficiently solved by using the LMS, NLMS and RLS methods

ntopng-udm icon ntopng-udm

ntopng Docker image for the UDM base and UDM pro

only-noisy-training icon only-noisy-training

A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.

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