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

machine-learning deep-learning data-science big-data aws tensorflow theano caffe scikit-learn kaggle spark mapreduce hadoop matplotlib pandas numpy scipy kerasThis is the list of published articles on medium.com ðŸ‡¬ðŸ‡§, habr.com ðŸ‡·ðŸ‡º, and jqr.com ðŸ‡¨ðŸ‡³. 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.

machine-learning data-analysis data-science pandas algorithms numpy scipy matplotlib seaborn plotly scikit-learn kaggle-inclass vowpal-wabbit ipynb docker mathMadmom 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).

audio-analysis signal-processing machine-learning music-information-retrieval numpy scipy cythonSmall Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

docker-image alpine machine-learning numpy pandas scipy scikit-learnThis 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.

python3 jupiter jupyter-notebook pytorch scipyA fast MDCT implementation using SciPy and FFTs

scientific-computing signal-processing scipy audio-analysisThis 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.

signal-processing audio-analysis stft fft scipyLecture 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.

science teaching beginner advanced lecture scipy numpy matplotlib github visualizarionInstakit† 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.

imagekit filter django image-processing pillow pil python3 numpy scipyPython notebooks for demonstrating various ideas, APIs, libraries.

planout jupyter-notebook abtesting timeseries prophet simpy scipyThis 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.

fortran-modules fortran-library scientific scientific-calculations cmake scipyHetmech 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.

hetmech hetnet theory-in-practice hetionet mechanism networks hetmat matrix numpy scipyA 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.

cpp cpp-library matrix-library eigen numpy scipy header-onlySpam 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.

machine-learning support-vector-machines sklearn sklearn-classify numpy scipy spam-classification enron-spam-datasetA simple example for use speech recognition baidu api with python.

pyaudio scipy speech speech-recognition
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