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lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine_learning_examples

A collection of machine learning examples and tutorials.

main

Implementations of Python and Ruby programming languages for .NET Framework that are built on top of the Dynamic Language Runtime.

ml-from-scratch

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlalgorithms

Minimal and clean examples of machine learning algorithms

mlbooks

Collection of free machine learning books

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

notebooks-statistics-and-machinelearning

http://unsupervised-learning.com

opencpu-server

Installation packages (deb, rpm) for OpenCPU cloud server

paddle

PArallel Distributed Deep LEarning

paramsklearn

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

phd-thesis

I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth

phosphide

Slightly opinionated scaffolding for building plugin-based IDE-style applications.

practicalml

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

prophet

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

pweave

Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.

pydata-chicago2016-ml-tutorial

Machine learning with scikit-learn tutorial at PyData Chicago 2016

pygps

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

pylearningcurvepredictor

predicting learning curves in python

pynance

mega-project containing python scripts and programs to handle all things finance

pyro

Deep universal probabilistic programming with Python and PyTorch

pysmac

simple python interface to SMAC.

pyston

An open-source Python implementation using JIT techniques.

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource