data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines

•    Python

IPython Notebook(s) demonstrating deep learning functionality.IPython Notebook(s) demonstrating scikit-learn functionality.

mlcourse_open - OpenDataScience Machine Learning course. Both in English and Russian

•    Python

This is the list of published articles on medium.com 🇬🇧, habr.com 🇷🇺, and jqr.com 🇨🇳. Icons are clickable. Also, links to Kaggle Kernels (in English) are given. This way one can reproduce everything without installing a single package. Assignments will be announced each week. Meanwhile, you can pratice with demo versions. Solutions will be discussed in the upcoming run of the course.

notes-python - 中文 Python 笔记

•    Jupyter

中文 Python 笔记

librosa - Python library for audio and music analysis

•    Python

A python package for music and audio analysis. See http://librosa.github.io/librosa/ for a complete reference manual and introductory tutorials.

matchering - 🎚️ Open Source Audio Matching and Mastering

•    Python

Matchering 2.0 is a novel Containerized Web Application and Python Library for audio matching and mastering. Our algorithm matches both of these tracks and provides you the mastered TARGET track with the same RMS, FR, peak amplitude and stereo width as the REFERENCE track has.

madmom - Python audio and music signal processing library

•    Python

Madmom is an audio signal processing library written in Python with a strong focus on music information retrieval (MIR) tasks. The library is internally used by the Department of Computational Perception, Johannes Kepler University, Linz, Austria (http://www.cp.jku.at) and the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Austria (http://www.ofai.at).

docker-alpine-python-machinelearning - Small Docker image with Python Machine Learning tools (~180MB) https://hub

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

pytorch-notebook - Jupyter Notebook Pytorch Stack

This image is based on Jupyter Notebook Scientific Python Stack. The following command starts a container with the Notebook server listening for HTTP connections on port 8888 with a randomly generated authentication token configured.

mdct - A fast MDCT implementation using SciPy and FFTs

•    Python

A fast MDCT implementation using SciPy and FFTs

stft - Spectrogram calculation for NumPy

•    Python

This is a package for calculating the short time fourier transform (spectrogram) or any other transform in a lapped and windowed fashion. Loading a file and calculating the spectrogram, its inverse and saving the result.

Scipy-Bordeaux-2017 - Course taught at the University of Bordeaux in the academic year 2017 for PhD students

Lecture notes from the course taught at the University of Bordeaux in the academic year 2017 for PhD students. Each student needs to come with a notebook computer running either Linux, OSX or Windows. The scientific Python ecosystem is made of several modules that constitute together the scientific stack. There are hundreds of Python scientific packages and most of them are built on top of numpy, scipy, matplotib, pandas, cython and/or sympy. We won't cover everything in this short course, but you should get enough information to decide if your research can benefit from Python. And I bet it will likely do.

instakit - Image processors and filters for use with ImageKit

•    Python

Instakit† is a suite of image processors and filters, for processing PIL images. InstaKit processors use the same API as PILKit's, so they can be used with anything that supports those, including ImageKit. Or you can just use them by themselves to process images using Python.

python-notebooks - Python notebooks for demonstrating various ideas, APIs, libraries.

•    Jupyter

Python notebooks for demonstrating various ideas, APIs, libraries.

SciFortran - A library of fortran modules and routines for scientific calculations (*in a way* just like scipy for python)

•    Fortran

This is a unitary collection of fortran modules and procedures for scientific calculations. The library aims to provide a simple and generic environment for any scientific or mathematic computations. The project is largely inspired by SciPy for Python and tries to closely follow its guidelines and naming convention. There are large areas that are still not covered. Anyone is welcome to contribute or to test the software.

hetmech - Matrix-based storage & computation on hetnets to enable a search engine for hetnets

•    Jupyter

Hetmech aims to identify the relevant network connections between a set of query nodes. The method is designed to operate on hetnets (networks with multiple node or relationship types). This project is still under development. Use with caution.

numpycpp - A c++ header library for matrix operation inspired Numpy Scipy, MATLAB only using Eigen.

•    C++

A c++ header library for matrix operation inspired Numpy, Scipy and MATLAB only using Eigen. This library has some APIs which Numpy, Scipy, MATLAB has, but Eigen doesn't.

SciPy-Programming-Succinctly - This is the companion repo for SciPy Programming Succinctly by James McCaffrey

•    Python

This is the companion repo for SciPy Programming Succinctly by James McCaffrey. Published by Syncfusion. Check out the entire library of more than 130 Succinctly e-books at https://www.syncfusion.com/ebooks.

spampy - Spam filtering module with Machine Learning using SVM (Support Vector Machines).

•    Python

Spam filtering module with Machine Learning using SVM. spampy is a classifier that uses Support Vector Machines which tries to classify given raw emails if they are spam or not. Support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier.

numba-scipy - numba_scipy extends Numba to make it aware of SciPy

•    Python

numba-scipy extends Numba to make it aware of SciPy. Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.

python-Speech_Recognition - A simple example for use speech recognition baidu api with python.

•    Python

A simple example for use speech recognition baidu api with python.