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py-coursera

Python framework for Coursera PGM and ML homeworks

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

py4inf

Python for Informatics: Exploring Information

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

pyethapp

pyknon

Simple Python library to generate music in a hacker friendly way.

quorum

A permissioned implementation of Ethereum supporting data privacy

r

r-holy-books-sentiment-data-analysis

What's the most positive or negative religion? . Sentiment and Data Analysis of Holy Books with R. Analysis of religious dogmas by exploring their Holy Books (The Bible, The Quran, The Dhammapada, and The Book of Mormon) with R

regression

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rodeo

A data science IDE for Python

satellite

Blockstream Satellite

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-videos

IPython notebooks from the scikit-learn video series

serpent

sframe

SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

slidify

Contains R slides made with Slidify

smart-contract-best-practices

sms-tools

Sound analysis/synthesis tools for music applications

spleeter

Deezer source separation library including pretrained models.

springer_books

Scraper that downloads Springers Free COVID-19 English books.

stanford-machine-learning-course

machine learning course programming exercise

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

state-crime-analysis

An analysis of US State Crime Rate data

stockfish

UCI chess engine

tackling-shuffling-sequences

The program used in the paper 'Tackling Shuffling Sequences'.

tensorflow

Computation using data flow graphs for scalable machine learning