rtedwards

pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

FrekvensPanel

Arduino library for playing with IKEA Frekvens LED panel

Spark-The-Definitive-Guide

Spark: The Definitive Guide's Code Repository

dtale

Visualizer for pandas data structures

shodan-python

The official Python library for Shodan

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

manim

Animation engine for explanatory math videos

pygenie

lime

Lime: Explaining the predictions of any machine learning classifier

shap

A game theoretic approach to explain the output of any machine learning model.

spotify-data-visualizations

An app that monitors a user's Spotify account and creates a dashboard to visualize usage over time.

echoprint-codegen

Codegen for Echoprint

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pystan2

PyStan, the Python interface to Stan

pymc2

THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:

pymc-resources

PyMC educational resources

EPIJudge

EPI Judge - Preview Release

streamlit

Streamlit — A faster way to build and share data apps.

spleeter

Deezer source separation library including pretrained models.

practical-sql

Code and Data for the First Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

slam

learning SLAM,curse,paper and others

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.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

free-programming-books

:books: Freely available programming books

ml-road

Machine Learning Resources, Practice and Research

spotify-data

Spotify API to BigQuery serverless pipeline