jakobularius,Jakob van de Laar,github

acousticrakereceiver

The acoustic rake receiver, a microphone beamformer that uses echoes to improve the noise and interference suppression. Python code to reproduce all the results from Raking the Cocktail Party by Ivan Dokmanic, Robin Scheibler, and Martin Vetterli.

adaptfilt

Adaptive filtering module for Python

algorithms

module of algorithms for Python

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

audio-analysis

Audio Analysis with Python and the Fourier Transform

audiolab

A python package for reading/writing audio files from numpy array

audiolazy

Expressive Digital Signal Processing (DSP) package for Python

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bob

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

cfdpython

A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

chebfun

Chebfun is an open-source software system for numerical computing with functions.

chirp

Pitch-based analysis and comparison of bioacoustic signals

connectomics

convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cvxpy

A Python-embedded modeling language for convex optimization problems.

datascience-anthology-pydata

PyData, The Complete Works of

dspnumex

Numerical examples examples for the DSP class by Martin Vetterli and Paolo Prandoni on coursera.

dustduino

Project to collect and distribute particulate matter readings

dustduinosd

DustDuino with shield and SD card

dustduinoserial

DustDuino with simple output to serial port

filterpy

Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.