seq112215

Digital-Signal-Processing-Coursera

This repository contains my solutions for labs and programming assignments on Coursera courses.

MP3Lab

This iPython Notebook is created as a part of the Digital Signal Processing (DSP) class offered at EPFL to explain the process of MP3 encoding, with a focus on the DSP parts of the encoder.

Digital-Signal-Processing

Course codes for Digital Signal Processing by EPFL on Coursera

Parselmouth

Praat in Python, the Pythonic way

NeuroSpeech

Toolkit to asses speech impairments in patients with neurological disorders

parkinsons-AI

Detect Parkinsons using XGBoost and NN's, see Medium article for in-depth

CheatSheets

Just a place to store cheatsheets

EdgeDeflector

A tiny helper application to force Windows 10 to use your preferred web browser instead of ignoring the setting to promote Microsoft Edge. Only runs for a microsecond when needed.

osintstalker

osintstalker

surfboard

Novoic's audio feature extraction library

SpeechTrainer

Natural Language Processing Final Project

simple-speech-features

Simple, straight-forward extraction of acoustic and prosodic features from sound waves based on Praat and Parselmouth.

AA_Parselmouth

parselmouth_specanalysis_demo

A demonstration of using the Parselmouth library to obtain certain spectral information from audio files.

pitch_formant_extraction

Audio (wav) file pitch and formant feature extraction with parselmouth (praat) library

Parselmouth-Guides

These are Jupyter Notebooks to help guide people to learn how to use Praat-Parselmouth

PraatScripts

These are praat scripts I use in my research, implemented in parselmouth for python for use in binder

cheetsheets-ML

Important Cheat Sheets for machine learning and deep learning researchers and data scientists (Python and R)

cheat-cheets-bootcamp

Data-Science-cheet-sheets

Cheat sheets for Numpy, Pandas, SQL, Scikit Learn

cheetsheets

all my cheat sheets

cheat_sheets

Some of my courses fragmentary cheat sheets in LaTex.

AudioDSP

repo to learn Audio signal processing on Coursera

The-Data-Science-Workshop

A New, Interactive Approach to Learning Data Science

Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

mathtoolbox

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

awesome-community-detection

A curated list of community detection research papers with implementations.

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques