seq112215

seq112215's Stars

• tirthajyoti/Machine-Learning-with-Python

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

  Language:Jupyter Notebook3.1k158101.8k

• da2x/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.

  Language:NSIS2.9k74162149

• benedekrozemberczki/awesome-community-detection

  A curated list of community detection research papers with implementations.

  Language:Python2.3k1108362

• ABZ-Aaron/CheatSheets

  Just a place to store cheatsheets

  1.7k741274

• YannickJadoul/Parselmouth

  Praat in Python, the Pythonic way

  Language:C++1.1k2277117

• milo2012/osintstalker

  osintstalker

  Language:Python6449536215

• maykulkarni/Machine-Learning-Notebooks

  Machine Learning notebooks for refreshing concepts.

  Language:Jupyter Notebook498160245

• novoic/surfboard

  Novoic's audio feature extraction library

  Language:Python435152047

• yuki-koyama/mathtoolbox

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

  Language:C++267185636

• PacktWorkshops/The-Data-Science-Workshop

  A New, Interactive Approach to Learning Data Science

  Language:Jupyter Notebook213221213

• snrazavi/Machine_Learning_2018

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

  Language:Jupyter Notebook210303105

• drfeinberg/PraatScripts

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

  Language:Jupyter Notebook1265331

• jcvasquezc/NeuroSpeech

  Toolkit to asses speech impairments in patients with neurological disorders

  Language:C++543319

• drfeinberg/Parselmouth-Guides

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

  Language:Jupyter Notebook38435

• tawanda/cheetsheets

  all my cheat sheets

  352014

• sachindc/Data-Science-cheet-sheets

  Cheat sheets for Numpy, Pandas, SQL, Scikit Learn

  343014

• cuuupid/parkinsons-AI

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

  Language:Jupyter Notebook222119

• uzaymacar/simple-speech-features

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

  Language:Python22202

• ma-mehralian/cheat_sheets

  Some of my courses fragmentary cheat sheets in LaTex.

  Language:TeX20104

• lucko515/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.

  Language:Jupyter Notebook192010

• sagihaider/cheetsheets-ML

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

  11202

• LCAV/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.

  Language:HTML10803

• albertogcmr/cheat-cheets-bootcamp

  Language:Jupyter Notebook8209

• idwira/pitch_formant_extraction

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

  Language:Python620

• chandlerbing65nm/Digital-Signal-Processing-Coursera

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

  Language:Jupyter Notebook4100

• noambassat/SpeechTrainer

  Natural Language Processing Final Project

  Language:Python2100

• taubaaron/AA_Parselmouth

  Language:C++2101

• Gia-Vinh/AudioDSP

  repo to learn Audio signal processing on Coursera

  Language:Python110

• Shobuj-Paul/Digital-Signal-Processing

  Course codes for Digital Signal Processing by EPFL on Coursera

  Language:Jupyter Notebook1100

• susanlinucb/parselmouth_specanalysis_demo

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

  Language:Jupyter Notebook1100